Biological Sciences

Research area: My award winning, internationally recognized research group has generated a significant body of fundamental knowledge focused on 3D bioprinting human neural tissues using stem cells over the past 8 years. My research team has published 37 papers focused on 3D bioprinting, including 18 research papers, 16 reviews, and 3 invited commentaries, including one in Cell Stem Cell published in 2024 detailing how advances in bioprinting have made it possible to generate physiologically relevant human neural tissues on demand.

Student roles:
The student will work with both the stem cells and biomaterial scaffolds to characterize their properties using a variety of techniques. In terms of the cell culture, the student will use microscopy, immunohistochemistry, real time PCR, and flow cytometry to characterize the differentiation state of the cells. The biomaterial scaffolds will be characterized using scanning electron microscopy as well as through release studies.

Skills required:
Stem cell culture experience is preferred. Experience working with chemicals and biohazards along with experience immunohistochemistry, real time PCR, and flow cytometry would also be desirable.

Research area: My expertise is Bioinformatics and Machine Learning. My current research focuses on multi-omics analysis which provides novel information on the mechanisms of the biological process and cell states in disease development. We develop computational tools for complex and high-dimensional data including genome-wide population data, RNA-seq, and tandem mass spectra. I'm particularly interested in applying deep learning and AI to plants to advance digital agriculture.

Student roles:
1. Process and perform quality control on RNA-seq datasets from the BRAINSPAN Atlas of the Developing Human Brain using established bioinformatics pipelines

2. Implement and optimize dedicated TE expression analysis tools (e.g., TEtranscripts, Telescope) to quantify loci-specific transposable element expression

3. Generate a comprehensive TE expression map across multiple brain regions and developmental timepoints using the BRAINSPAN transcriptomic datasets

4. Address computational challenges associated with repetitive sequence mapping, including multi-mapping reads and TE polymorphisms

5. Conduct comparative expression analysis to identify developmental stage-specific and brain region-specific patterns of TE activity

6. Investigate associations between TE expression dynamics and known neurodevelopmental processes and disease-implicated genomic regions

7. Document findings through regular progress reports and lab meetings, and contribute to manuscript and figure preparation

8. Collaborate with supervisors and team members to integrate computational results within the broader context of brain development and TE biology

Skills required:
1. Strong foundation in molecular biology and genomics, including an understanding of DNA/RNA biology, transcription, and mobile genetic elements
2. Proficiency in bioinformatics and RNA-seq data analysis, including familiarity with transcriptomic pipelines and gene expression quantification tools
3. Computational skills including command-line (Linux/bash) and scripting experience in Python or R for data processing and visualization
4. Familiarity with sequence alignment, reference genomes, and the challenges associated with mapping repetitive or multi-mapping sequences
5. Experience or strong interest in working with large publicly available genomic datasets and high-performance computing environments

Research area: The increasing number of emerging multi-drug resistant human pathogens and the low number of antibiotics available to combat these infections is a significant threat to human health worldwide. Chronic infections frequently involve bacterial biofilms, which are especially difficult to treat due to the high antibiotic tolerance of biofilm cells and their extreme capacity for evading the host immune defence. Biofilms are microbial communities of cells embedded in a self-produced polymeric matrix composed of polysaccharides, proteins, lipids, and eDNA. Understanding antimicrobial resistance and mechanisms of host evasion of biofilms is crucial in the fight of antimicrobial resistant and persistent biofilm infections.

Student roles:
The student will explore research literature to get familiar with the overall project. They will participate in laboratory and biosafety training. They will perform microbiological and molecular biological experiments with minimal guidance. The student will work with opportunistic human pathogens. After consultation with the supervisor, the student will be responsible for planing their weekly workload including planing of experiments and design of experimental methods. The student will participate in bi-weekly laboratory meetings as well as in regular research discussions. They will participate in lab-related duties such as maintenance of laboratory and equipment. They will provide a short project report and short research presentation (10min) at the end of the project.

Skills required:
The student should have a background in biology, microbiology, health sciences, biochemistry, biomedical engineering, biomedical sciences, immunology or related fields and should be familiar with basic laboratory skills as well as basic microbiology methods including the culture of bacteria. Experience in advanced microbiology, microscopy, molecular biology (DNA, RNA, Protein), or genomics, would be an asset. The student should be a friendly, organized team player with interest in interdisciplinary research, who is highly self-motivated, and is able to work independently.

Research area: My research focuses on understanding the molecular mechanisms that regulate placental development and how disruptions to these processes contribute to pregnancy complications. My lab integrates genomics, epigenomics, and circulating nucleic acid analysis to characterize regulatory processes that shape placental cell differentiation and function. This includes studying DNA methylation, transcriptomic regulation, and circulating cell-free DNA signals that reflect placental biology. By combining molecular profiling with computational analysis, our work aims to identify regulatory pathways underlying normal placental development and dysfunction while advancing non-invasive approaches to study placental health during pregnancy.

Student roles:
The student intern will play a central role in executing the project, working closely with the lab team to curate, organize, and analyze publicly available placental RNA-seq datasets. They will be responsible for identifying relevant datasets, downloading and managing sequencing files, and assembling associated metadata such as gestational age, fetal sex, and pregnancy outcomes. The intern will implement computational pipelines to detect and quantify alternative splicing events, compare splicing patterns across gestation, between sexes, and in pregnancies affected by placental dysfunction, and interpret these results in a biological context. They will also document methods, track analyses, and contribute to preparing figures and summaries for lab discussions and potential publications. This role offers hands-on experience in bioinformatics, transcriptomics, and integrative analysis of human developmental data while fostering independent problem-solving and scientific communication skills.

Skills required:
Through this project, the undergraduate trainee will develop practical skills in computational genomics and transcriptomic data analysis. The student will gain experience working with large-scale sequencing datasets, including organizing data, extracting and harmonizing metadata, and applying bioinformatics tools to detect and quantify alternative splicing events. Training will include working in a Linux-based computing environment, using scripting and established analysis pipelines to explore transcript isoform variation across biological conditions. The trainee will also build skills in interpreting genomic data in a biological context, critically evaluating scientific literature, and communicating results through written reports and presentations. Together, these experiences will provide foundational

Research area: My research focuses on biodiversity responses to environmental change, with an emphasis on linking community structure to ecosystem functioning and conservation outcomes. I use quantitative and trait-based approaches to understand how ecological communities respond to natural and anthropogenic disturbances across ecosystems. A key component of my work involves applying statistical and computational tools to large ecological datasets to assess biodiversity patterns, ecosystem services, and restoration outcomes. This research contributes to improving monitoring frameworks and informing conservation strategies in both freshwater and marine systems.

Student roles:
The student will work closely with the supervisor and lab members to analyze coral reef monitoring data and assess indicators of ecosystem condition and restoration success. Their role will include: (1) organizing and cleaning ecological datasets derived from field surveys; (2) processing coral photoquadrat data using the ReefCloud platform to quantify benthic composition; (3) analyzing fish diversity and community structure from transect survey data; (4) supporting the generation or interpretation of 3D photogrammetry models to quantify reef structural complexity; and (5) integrating multiple ecological metrics to evaluate spatial patterns in reef condition. The student will apply statistical and multivariate analyses in R and will be guided through reproducible data workflows. They will also participate in weekly lab meetings, where they will discuss progress, receive feedback, and engage with broader topics in ecology and conservation. Training will be provided in ecological data handling, biodiversity analysis, and emerging monitoring technologies such as AI-assisted image classification and structure-from-motion photogrammetry. By the end of the internship, the student will have developed transferable skills in data analysis, visualization, and scientific interpretation, as well as experience working with real-world conservation datasets.

Skills required:
The student should have a background in ecology, marine biology, environmental science, or a related field. Familiarity with concepts of biodiversity, community ecology, or conservation is expected. Experience with R programming and basic statistics is strongly preferred. An interest in data analysis and working with ecological datasets is essential. Previous experience with image analysis, GIS, or photogrammetry is an asset but not required. Motivation to learn new analytical tools and engage with interdisciplinary conservation research is important.

Research area: Our lab specializes in the study of nutrition, obesity and metabolism. We aim to answer the question of why some people with obesity develop diseases and others do not. To answer these questions, we examine the problem from a physiological and biological perspective by implementing a number of multidisciplinary techniques including nutrition and exercise interventions/measures, indirect calorimetry, flow cytometry, cell culture, PCR, etc. Our projects involve recruiting participants, conducting study visits, collecting and analysing samples (blood, adipose tissue, muscle). Interns will gain a multitude of skills and will be involved in some or all aspects of the study.

Student roles:
The student will be assigned parts of the project based on their background, experience, and learning goals. Students may be involved in conducting the study, participants visits, collecting measurements, analysing samples, and/or analysing data.

Skills required:
-Able to perform literature searches
-Enthusiastic
-Quick learner
-Hard worker
-Resourceful
-Comfortable working with people
-Lab experience, an asset
-Previous experience with statistical analysis, an asset
-French, an asset

Research area: My research activities focus on: (i) binder technology for road and construction materials; (ii) carbon capture strategies applied to binders; (iii) adsorption studies involving novel regenerative hybrid magnetic SBA-15 materials; (iv) the characterization and remediation of contaminated soils; (v) the influence of temperature and pore fluid salinity on clay barriers; (vi) the mechanical behavior of clay barriers under varying suction levels; and (vii) the smart design of permeable reactive barriers for microplastics pollution control. My work is primarily experimental, and I have established a strong, hands-on training program in my laboratory to support the development of highly qualified personnel (HQP).

Student roles:
The research laboratory is equipped with advanced testing facilities that require specialized training for safe and effective operation. The selected student will receive comprehensive training on the use of laboratory equipment, along with the necessary theoretical background to conduct research in accordance with established protocols developed by previous researchers. The student will work in a collaborative environment alongside a team of scholars, exchanging ideas, sharing resources, and supporting peers as needed.
Strong time management skills are essential, as the position involves meeting defined milestones and maintaining regular interactions with industrial partners. The student will be expected to adhere to clear deadlines for completing assigned deliverables. Key responsibilities will include collecting and analyzing experimental data, conducting statistical analyses, and using relevant computational tools and software in the research domain.
While the overall objectives of the project will be clearly outlined, the student will be encouraged to contribute to the development and refinement of experimental protocols. This approach fosters critical thinking, independence, and innovation. Additionally, it promotes effective teamwork by enabling the student to leverage their individual strengths while contributing to a cohesive, productive research environment.

Skills required:
The ideal intern should demonstrate perseverance and strong enthusiasm for research, enabling them to effectively engage with experimental challenges. Excellent communication and time management skills are essential to balance research tasks with academic commitments. The student must be capable of working both independently and collaboratively, showing initiative and contributing positively to team efforts. Strong problem-solving and multitasking abilities are required, along with a willingness to learn new technologies and techniques. Regular participation in weekly research meetings is expected. Additionally, the intern must uphold strict confidentiality and maintain professional and ethical standards in handling all research data and project outcomes.

Research area: My research focuses on understanding how mitochondrial dysfunction, oxidative stress and inflammation disrupt brain homeostasis and function, contributing to psychiatric disorders such as Major Depression and Bipolar Disorders. Leveraging complementary human samples (e.g., blood), patient-derived neuronal and glial models, and in vivo systems (drosophila and mouse models), we evaluate mitochondrial fitness, bioenergetic balance, and neuroinflammatory signaling. Our work integrates genome editing and bioengineering approaches to interrogate pathogenic mitochondrial DNA (mtDNA) variants and damage, mitokines, and inflammatory biosignatures as convergent indicators of cellular metabolic stress and disease vulnerability.

Student roles:
Weeks 1–4: Training and Pilot Work
Complete mandatory safety and ethics training (laboratory biosafety, whims and others).
Receive training in participant recruitment, informed consent procedures, and ethical conduct of human research.
Learn how to administer and score standardized self-report and clinician-administered questionnaires, including assessments of depressive symptoms, affective temperament, and metabolic health.
Participate in participant interviews and clinical assessments under supervision to gain experience in psychiatric research procedures.
Receive hands-on training in blood sample processing, plasma and buffy coat isolation, DNA extraction, mitochondrial isolation, and qPCR.

Weeks 5–8: Experimental Phase
Process participant blood samples and perform plasma and buffy coat isolation.
Extract circulating DNA from plasma samples and quantify DNA concentration and purity.
Quantify mitochondrial DNA levels and deletion rates using real-time qPCR.
Perform mitochondrial bioenergetic assays, including electron transport chain (ETC) Complex I–IV activity measurements.
Measure ATP levels as an indicator of mitochondrial function.
Quantify circulating mitochondrial stress markers using ELISA-based assay.

Weeks 9–12: Data Analysis and Presentation
Organize and analyze clinical, metabolic, and mitochondrial datasets.
Assist in constructing the Peripheral Mitochondrial Integrity Index (pMII) by integrating mitochondrial bioenergetic, molecular, and metabolic measures.
Explore associations between pMII scores and clinical outcomes, including symptom severity and metabolic characteristics.
Prepare figures and report findings in a short manuscript.
Present results at a lab meeting or student symposium.

My training program will focus on nurturing essential academic skills, including theoretical knowledge acquisition, laboratory techniques, data analysis, and scientific communication through team meetings and journal clubs. I will foster a welcoming environment that meets needs of both domestic and international students and organize social events to promote team bonding and collaboration. To ensure a smooth transition for the international student, I will actively engage with the International Student and Study Abroad

Skills required:
The student should have a background in biological sciences, neuroscience, molecular biology, genetics, pharmacology, or related fields, with solid knowledge of molecular and cellular biology. Basic lab skills such as pipetting and solution preparation are required. Experience with techniques like DNA extraction, PCR, histology, westernblot or ELISA. Familiarity with data analysis tools (e.g., SPSS, ImageJ) is also beneficial. Strong communication skills, both written and verbal, are essential for teamwork and presentations. The student must be detail-oriented, able to work independently and collaboratively, and committed to following protocols and safety guidelines.

Research area: My research focuses on biodiversity monitoring and ecological data analysis, with an emphasis on integrating emerging technologies such as artificial intelligence into ecological research. I study how ecological communities can be monitored and understood using large, complex datasets derived from sensors, imagery, and acoustic recordings. This work aims to improve biodiversity assessment and conservation outcomes by combining ecological theory with computational tools, contributing to scalable and automated monitoring systems in data-limited regions.

Student roles:
The student will work closely with the supervisor and collaborators to prepare biodiversity datasets derived from camera traps and acoustic monitoring systems in the Amazon. Their role will include: (1) annotating images and audio recordings to identify species or relevant biological signals; (2) organizing and curating large multimedia datasets for use in machine learning workflows; (3) cleaning and structuring associated metadata, including spatial and temporal information; and (4) assisting in exploratory analyses to summarize biodiversity patterns. The student will gain hands-on experience working with real-world ecological datasets generated by automated monitoring technologies. They will be introduced to best practices in data management, reproducible workflows, and dataset preparation for AI applications. The student will also participate in weekly lab meetings and discussions on ecology, conservation, and emerging technologies. Training will be provided in ecological data handling, annotation tools, and basic principles of machine learning as applied to biodiversity monitoring. By the end of the internship, the student will have developed transferable skills in data curation, biodiversity informatics, and interdisciplinary research linking ecology and artificial intelligence. They will also contribute to datasets that support the development of automated biodiversity monitoring tools.

Skills required:
The student should have a background in ecology, biology, environmental science, computer science, or a related field. Interest in biodiversity and conservation is essential. Experience with data handling in R or Python is strongly preferred. Familiarity with image or audio data processing is an asset but not required. Attention to detail and ability to work with large datasets are important. Interest in artificial intelligence applications in ecology is highly desirable.

Research area: My research specializes in ecosystem science, with a focus on understanding how climate change and human disturbances affect freshwater ecosystems, wetlands, and boreal landscapes. I investigate the cumulative impacts of wildfire, drought, permafrost thaw, resource development, and urbanization on water quality, biodiversity, and ecosystem resilience. My work integrates ecohydrology, environmental chemistry, microbial ecology, and advanced monitoring technologies, including environmental DNA (eDNA), remote sensing, artificial intelligence, and machine learning. Through collaborations with Indigenous communities, government agencies, and industry partners, I develop science-based solutions that support ecological restoration, climate adaptation, freshwater stewardship, and sustainable environmental management.

Student roles:
The undergraduate student will play an active role in both the field and laboratory components of the project. Responsibilities will include assisting with freshwater ecosystem monitoring, water and sediment sample collection, environmental DNA (eDNA) sampling, biodiversity surveys, and hydrological measurements across boreal watershed sites. Students will support the deployment and maintenance of monitoring equipment, including water-level loggers, water-quality sensors, and meteorological instruments.
In the laboratory, the student will assist with sample processing, water quality analyses, data entry, quality assurance/quality control procedures, and the organization of environmental datasets. The student will also contribute to data analysis, literature reviews, and the interpretation of research findings using statistical and geospatial tools. Opportunities will be provided to participate in machine learning applications for environmental monitoring and freshwater resilience assessment.
The student will work closely with researchers, community partners, and Indigenous collaborators, gaining exposure to interdisciplinary and community-engaged research approaches. They will participate in research meetings, contribute to project reporting, and assist in the preparation of presentations, posters, and scientific publications. Through these activities, the student will gain hands-on training in freshwater science, ecosystem monitoring, environmental data analysis, and scientific communication while contributing to research that supports climate adaptation, freshwater stewardship, and ecosystem resilience.

Skills required:
This project is suitable for undergraduate students in environmental science, ecology, biology, geography, hydrology, environmental chemistry, data science, or related disciplines. Students should have a strong interest in freshwater ecosystems, climate change, environmental monitoring, and sustainability. Experience in fieldwork, laboratory analysis, GIS, statistics, or programming (R or Python) is an asset but not required. Students should be comfortable working both independently and within interdisciplinary teams. Training will be provided in water quality monitoring, biodiversity assessment, environmental DNA (eDNA), data analysis, and scientific communication, offering valuable preparation for graduate studies and environmental careers.

Research area: Research conducted in my laboratory aim to gain an understanding of the neuronal mechanisms that control breathing and affect its function during sleep when the majority of respiratory disorders of central origin occur. We are currently interested in delineating the function of a region in the brainstem that is crucial for the generation of expiratory activity. Its contribution to ventilation in health and disease is yet not clear. With state of the art technologies we aim to provide a better understanding of the function of this structure and the networks that influence its activity.

Student roles:
The student will be responsible for the surgical procedures, acquisition of data, data analysis, and elaboration of the results. The student will acquire expertise in survival surgeries, stereotaxic injection, animal handling, EEG/EMG instrumentation, and optogenetic techniques. She/He will also gain experience on data analysis of EEG and respiratory variables in anesthetized rodents.

Skills required:
background in neuroscience, neuro-physiology, pharmacology and respiratory physiology

Research area: Dr. Lehmann’s clinical training in the related disciplines of anesthesia, intensive care medicine, pain therapy and emergency medicine factor heavily in his main research focus on local and systemic inflammation. Through his experimental research, Dr. Lehmann seeks to identify novel treatments for pain and inflammation. In preclinical studies, his team utilizes intravital microscopy to visualize activation of immune cells in vivo. Modulation of the endocannabinoid system represents an innovative approach to attenuate inflammation and achieve pain relief in several clinical conditions, such as cystitis, inflammatory bowel diseases or sepsis.

Student roles:
The student will be directly involved in the research project and will be assisting a post-doctoral fellow. The student will help with all experimental procedures and data analysis. By the end of the internship the student will have had an opportunity to practice animal handling (mice), intravital microscopy, tail-vein injections, data analysis (leukocyte recruitment data), histology and other general laboratory skills such as solution preparation. The student will be responsible for showing up on time and assisting with the experiment set up, the experiment and the cleanup. The student will be expected to become comfortable with conducting a literature review and to learn the background and current information about the research project. Additionally, during the internship the student will be expected to attend lab meetings and to participate in journal club.

Skills required:
The student is required to have a basic understanding of the biological sciences with a specific emphasis on microbiology and immunology. Previous laboratory experience with animal work (specifically mice), intravital microscopy, tail-vein injections, data analysis (leukocyte recruitment data), histology and other general laboratory skills such as solution preparation and handling are an asset but are not required. Most of the skills required will be taught during the internship.

Research area: My research program focuses on how the cardiovascular system is impacted by metabolic, mechanical, and psychological “challenges” with a focus on sex-differences and female-specific physiology. We study sex-differences in cardiovascular outcomes in young, middle-aged, and older males and females. We also look at how the cardiovascular system changes during periods of sex hormone reduction (natural and surgical menopause, breast cancer survivors using aromatase inhibitors) or with sex hormone addition/fluctuations (menstrual cycle, oral contraceptive use). With my background in exercise physiology, I am also interested in how different exercise training programs impact cardiovascular health, with a focus on women.

Student roles:
The student will be involved in all aspects of the project including recruitment and screening of participants, participating in data collection and intervention administration, analysis of data, and preparing knowledge dissemination materials. They will also be a part of a larger research lab group of 12 trainees and staff, so be able to take part in other projects throughout the summer.

Skills required:
We are looking for engaged and passionate students who have an academic background in the Life Sciences, Biological Sciences, or Kinesiology, or similar disciplinary areas. Required skills include the ability to work both independently and as part of a larger group setting, experience with engaging with members of the community preferably in a healthcare setting or similar environment. Assets include experience with exercise training, cardiovascular measurements, and working in research environments. We welcome individuals to apply from diverse backgrounds, and especially welcome women+, 2SLGBTQIA+, and BIPOC students.

Research area: I am a Pharmacist Scientist leading a new research program at the Faculty of Pharmacy at the University of Alberta. My team, POINT (pathogens omics interaction teams) uses multi omics methods to study host pathogen interaction in the context of antimicrobial resistance and persistent infections. We use a blend of clinical and laboratory studies, and our work is focused on parasitic and fungal infections.

Student roles:
The student will conduct wet-lab experiments using laboratory strains of pathogens and human cell line. The internship will blend lab work (for the first 6 weeks, including co-culturing pathogens and human cell lines), and omics data analysis (for the second part of the internship). The contingency plan includes access to other data generated in the lab for the second part of the internship, to ensure a complete learning experience.

Skills required:
The student must have a background in biomedical sciences, pharmacy, or medicine. Previous lab or data analysis experience is preferred, but not required. Specific skills include molecular biology experience (nucleic acid and protein purification, PCR), cell culture, and omics data analysis. R software user.

Research area: The Toxopeus lab (https://jantinatoxopeus.com/) focuses on understanding how animals and their cells survive in challenging environments, especially low temperatures associated with winter. This is important for understanding how organisms tolerate current environmental stressors, and how they might respond to future changes in their environment (e.g. due to global climate change), with implications for forestry, agriculture, and human health (e.g., when studying insect pests and vectors of diseases). Our work on freeze-tolerant insects also has implications for understanding cryopreservation, an important technique for preserving cells and tissues for biomedical purposes.

Student roles:
The student will learn how to dissect insect tissues, use techniques involved in studying gene expression (e.g., RNA extraction, quantitative PCR, protein extraction, Western blotting, immunocytochemistry, confocal microscopy), and record the data from these experiments in an organized fashion. The student will also learn how to analyze the data and present it in visual or graphical form to share the information with their supervisor and other scientists. The student will also be expected to spend some time learning about the project by reading scientific literature, and may be expected to contribute to the process of publishing the results from their project. All students in the Toxopeus lab regularly meet with Dr. Toxopeus and participate in group laboratory meetings.

Skills required:
Some background in molecular biology is an asset, but not required. Some experience using the techniques described in the “required role” section would also be an asset, but are not required. Students will be fully trained in relevant background knowledge and techniques for their project while in the Toxopeus lab.

Generally, research projects are most successful when students have strong attention to detail, organization, and time-management skills. It is also important to be able to work well independently and as part of a team. Finally, a general curiosity about the way biology works is always good!

Research area: My current research program is in the areas of drug metabolism, pharmacokinetics, functional pharmacogenetics/epigenetics, and toxicology. The overarching theme of my research program is to enhance our understanding of the mechanistic basis of individual variation in pharmacokinetics and pharmacodynamics, thereby contributing to personalized pharmacotherapy by improving drug effectiveness and safety in the individual patient. Specifically, the aim of my research program is to elucidate the various genetic and non-genetic factors (e.g., drugs/toxicants/endogenous chemicals, food, epigenetics) involved in regulating drug metabolism, transport, and action.

Student roles:
The student will be involved in literature search/reading, planning of experiments, preparation of reagents (including calculations of reagents/chemicals and concentrations required for each step of the experiments), learning and performing experiments in the laboratory, writing of laboratory reports/notes, data analysis using Excel formulas, and statistical analysis using SigmaPlot software. As a member of the laboratory team, the student will also play a role in laboratory management tasks. The student may also be involved in presenting experimental findings in laboratory meetings and/or research symposium (if opportunity exists). The student will be trained to work independently on experiments. Some of the experimental techniques include cell culture/subculture, preparation of chemicals, in situ incubation of the cells with chemicals, cell lysis, performing total protein quantification assays, preparing standard calibration curves, and preparing samples for UHPLC-MS/MS analysis.

Skills required:
The project requires highly quantitative experimental techniques to obtain accurate and precise data. The quantitative project is particularly suitable for students who are highly meticulous, highly organized, and with a very strong interest in pharmacology, drug metabolism, pharmacokinetics, or biochemistry. Students should have a background in pharmacy, pharmacology, biochemistry, biomedical sciences, biological sciences, or other related fields. Students with pharmaceutical analysis/bioanalytical chemistry, and cell culture skills and knowledge will have an advantage in performing the experiments in this project.

Research area: We study the interactions between viruses and host cells. Specifically, we investigate how viruses attempt to take over the cell nucleus and how the cell attempts to prevent this takeover. We use herpes simplex virus (HSV1) and related veterinary alphaherpesviruses to investigate the roles of chromatin in this "battle for the nucleus". We have identified a novel chromatin regulatory function for the only essential HSV1 transcription activator, ICP4. We aim to characterize how ICP4 regulates viral chromatin to activate viral gene expression and evaluate whether this activity is conserved among the ICP4 homologues of veterinary alphaherpesviruses.

Student roles:
The student will be directed and trained in all techniques and background knowledge required to conduct their research project. They will independently engage in their project with oversight, supervision, and mentorship from the PI and laboratory technician. The student will meet with the PI weekly to review their progress, evaluate results, address any arising issues, and plan the research activities for the next week. They will also participate and present in weekly laboratory group meetings and events hosted by the Department of Veterinary Microbiology. The student will present their research project and results at the annual Western College of Veterinary Medicine Undergraduate Research Poster Day.
We have cloned the sequences encoding IE1 and IR2 from EHV1 genomic DNA into mammalian expression vectors as RFP (red fluorescent protein) fusion proteins. The student will use these constructs to create stable cell lines with inducible expression of RFP-IE1 or -IR2 fusion proteins (or RFP as a control). The student will use these cells to evaluate histone dynamics in the presence of RFP-IE1, RFP-IR2, and RFP to test whether either viral protein alters histone dynamics. A live cell confocal imaging technique called FRAP (fluorescence recovery after photobleaching) is used to directly measure the mobility of GFP (green fluorescent protein)-histone fusion proteins. We already have plasmids encoding GFP-histone fusion proteins. The student will prepare lentiviral stocks for transduction of equine cells (to make the stable cell lines) and evaluate and optimize RFP-IE1, -IR2, or RFP expression. The student will prepare stocks of GFP-histone expression plasmids and maintain the stable cell lines for their experiments. The student will transfect cells with individual GFP-histone-encoding plasmids, induce expression of the protein of interest, and evaluate histone mobility by FRAP.

Skills required:
The student should have basic knowledge in the areas of cell biology and molecular biology with some experience in common molecular biology techniques, including micropipetting. Practical experience with tissue culture techniques would be an asset, but is not required. The student should have excellent oral and written English communication abilities and possess strong problem-solving, organization, and interpersonal skills. The student should have a positive attitude, willingness to self-asses and improve, and take initiative in their learning and research activities.

Research area: My lab's research seeks to better understand how forests will be affected by global change. We are particularly interested in how tree-level demographic processes interact with disturbance to create changing patterns of structure, biomass, and diversity within forest stands and landscapes.

Student roles:
The internship will include a combination of field-based and computer-based tasks performed under the supervision of a graduate student or postdoctoral fellow. In the field, the student will assist in performing UAV surveys in remote forest sites. The research team will spend several weeks working from the university's field station while they perform data collection. Once this work is completed the team will return to the university, where the student will process imagery data collected from the UAV surveys using GIS software and prepare it for statistical analysis. While on campus the student will have the opportunity to participate in networking events and professional development activities with other research students.

Skills required:
The student should have a background in biology, forestry, environmental science, geography, or a related field. They should be physically fit and enjoy working outdoors in a remote forest environment. They should be hard-working in collecting field data and in an efficient and reliable manner. They should have some experience in analyzing data using computer software, and be conscientious in ensuring the quality and integrity of data processing workflows. Previous experience using geographic information systems (GIS) software would be valuable, but is not required.

Research area: I am a plant evolutionary geneticist who's work focuses on understanding phenotypic and genomic adaptation to contemporary, human-induced environmental change. My lab uses large-scale experiments with plants to understand to selective agents operating in natural plant populations, and combines this with high-throughput whole genome sequencing to uncover the genetic architecture of phenotypes driving patterns of adaptation in nature. In doing so, we leverage the latest computational advances to analyzing genomic sequencing data, and often perform simulations to understand the limits of what existing tools can do, which is especially important when working in non-model systems.

Student roles:
The student will be involved in every aspect of the project. Specifically, the student will:

1. Develop a Snakemake pipeline that executes all existing imputation algorithms to impute the genotypes of over 3,000 low-coverage whole genome sequences onto the white clover reference panel that contains around 600 samples.
2. Downsample the reference panel to varying sizes, re-running the imputation algorithms each time to see how well they perform under varying sizes of the haplotype reference panel.
3. Downsample the target samples to varying coverages to see how the imputation algorithms perform under varying sequencing depths.

This project will provide the student with a detailed overview of cutting-edge methods in evolutionary genomics, particularly in non-model systems. At each step of the process, the student will develop ways to assess the false positive rate and accuracy of the different imputation algorithms and report on which performed the best under varying regimes of sequencing depth and reference panel size. I will be around all summer and the student and I will work closely together on this project, aiming for at least on in-depth meeting per week to discuss project progress.

Skills required:
Training in genetics, genomics, and bioinformatics would be an asset for this project. In particular, the ideal student would have at least a basic understanding of the basic file formats for genomic data (e.g., BAM, VCF) and the tools that are used to generate and manipulate them (e.g., Samtools, bcftools). In addition, basic programming abilities in Python and Unix-like environments (i.e., command-line and Bash) would be valuable, as most of the work will be performed on a computational Linux cluster. Knowledge of pipeline management software (e.g., Snakemake) would be an asset.

Research area: Dr. Douplik is a Professor, Head of the Photonics Group in the Physics Department at Toronto Metropolitan (formerly Ryerson) University since 2011, a Scientist at St. Michael’s Hospital, Toronto, specializing in Biophotonics and Laser Medicine, author of more than 70 peer-reviewed papers, 55 conference papers, seven book chapters and 18 patents. He was a visiting researcher at the Okinawa Institute of Science and Technology (OIST), Japan, in 2017, 2018 and 2023. From 2007-2011 he was a contract Research Professor at Erlangen University, Germany, where he defended his Biomedical Engineering Habilitation (Dr. of Science degree) in 2011.

Student roles:
Experimental work, data processing and analysis, report writing, and participation in publication.

Skills required:
Experimental Design, Optics, Physics, Engineering, Programming, Signal Processing

Research area: Fibrotic conditions, responsible for ~45% of the deaths in the developed world, are a major unmet medical need. Fibrosis--excessive scar tissue formation resulting in organ dysfunction--affects the oral cavity. Examples of such conditions are gingival overgrowth and scleroderma. There is no approved drug treatment for fibrotic disease. Our objective is to uncover the mechanisms underlying fibrosis with the aim of developing targeted anti-fibrotic therapies.

Student roles:
The student will conduct:
a) real time PCR analysis of RNA, extracted from treated cells, to detect expression of fibrotic markers
b) histological stains to detect collagen deposition in tissue sections taken from mice exposed to fibrosis

Skills required:
Prior experience with cell culture, RNA analysis or microscopy preferred but not required. Prior lab experience recommended.

Research area: The research area for this project is coastal access, or the study of how people get to and move along the coastline. Coastal access is a growing field of research that includes topics of mapping, climate change, coastal zone management, equity, planning, policy and governance, and social conflict. This research area studies key questions related to how and why people seek out access to the coastline (in Canada and around the world), the barriers they face in doing so, how shoreline development and climate change may change access in the future, and how access can be protected, enshrined, and maintained.

Student roles:
The student will join the FishPeoplePlace lab at Dalhousie University as a member of the Coastal Access Project. They will work directly with Dr. Hannah Harrison, Dr. Patricia Manuel, and students in the Master of Marine Management program to learn project methods and develop the scope of their internship work. They will be responsible for working collegially and respectfully with a diverse group of student and faculty scholars, and contributing to the coastal access inventory project. They will learn and refine the established project methods, then use GIS tools to build coastal maps of the Atlantic Provinces. As time allows, they will be encouraged to work westward across the country. The student will be responsible for producing finished maps of their work and provide basic statistics on the land types they identified. They may also contribute to scholarly manuscripts as a co-author for publication in reputable peer-reviewed journals. Finally, they will produce a short, plain-language report on their work for sharing on the project website.

The student will also be encouraged to take part in lab activities related to coastal access, including (as support is available) ground truthing of mapped areas, taking part in coastal advocacy working groups with local NGO partners, taking part in lab learning activities with other students, and giving a presentation about their results at the end of the internship period.

Skills required:
Required skills include: strong GIS and mapping experience, strong written and oral communication skills (English), the ability to work independently and in a lab environment with other students and faculty, strong self-motivation and creativity in problem solving, critical thinking, ability to work respectfully and collaboratively with others of diverse backgrounds.

Educational background: natural (biology, ecology) or social sciences (geography, human ecology, social studies). Other relevant fields of previous study are also welcome (i.e., planning).

Assets: willingness to travel to the field to groundtruth mapping project (1-2 day trips, if funding permits); previous experience working on coastal topics;

Research area: Dr. Enders is primarily interested in fish ecology, fish and habitat conservation and restoration, and environmental impact assessments of anthropogenic flow and climate changes on fish populations. The Riverine Fish Ecology Lab of the INRS – Centre Eau Terre Environnement has broad research interests in conservation biology, ecophysiology, fish behaviour and bioenergetics, and aquatic ecology to provide scientific advice for Species at Risk and Fish Habitat Protection. Freshwater fishes are used as research models for experiments conducted in both the laboratory and the field.

Student roles:
In this lab study, the role of the student will involve to actively participate in divers research tasks. The student's responsibilities begin with a thorough understanding of the study objectives, research questions, and relevant background information. This familiarity will enable the student to grasp the context and purpose of the field work, align their efforts accordingly, and contribute effectively to the overall research goals.

Prior to embarking on the work, the student will play an important role in preparing the necessary equipment and field gear. This involves organizing and gathering the tools, instruments, and materials required for data collection and field experiments. By assisting in this preparation process, the student ensures that all the necessary resources are available and in proper working condition, facilitating a smooth and efficient study.

In the laboratory, the student will actively engage in data collection and lab experiments. This includes following established protocols and methodologies, implementing planned procedures, and conducting observations or measurements as required. The student will conduct behavioral experiments. The student's active involvement allows for the collection of reliable and accurate data, forming the foundation for the research findings and conclusions.

In summary, the student's role in this study encompasses familiarizing themselves with study objectives and background information, assisting in the preparation of experimental setup, actively participating in data collection and lab experiments, taking accurate notes, and ensuring the quality and integrity of the collected data. By fulfilling these responsibilities, the student contributes to the success of the research endeavor and gains valuable hands-on experience in their field of study.

Skills required:
To participate in this laboratory study effectively, we encourage students with an educational background in the field of biology or environmental sciences or equivalent degree (e.g., ecology, wildlife biology, natural resource management, or other relevant discipline) to apply. We are looking for a creative and self-motivated student who has critical thinking and problem-solving skills. The student should be able to work effectively both independently and collaboratively in a team. Adaptability is another important skill for this study.

Research area: My research focuses on computational bioinformatics and data science approaches to study antimicrobial resistance (AMR) in livestock systems, particularly beef cattle microbiomes. I work with metagenomic sequencing data to analyze antimicrobial resistance genes and microbial community patterns across cattle-associated samples. My research integrates machine learning, statistical modelling, and reproducible computational workflows to better understand AMR dynamics and support data-driven decision making in agriculture and One Health research contexts.

Student roles:
The student will contribute to a computational research project focused on antimicrobial resistance analysis. They will work with structured datasets to perform data cleaning, organization, and exploratory analysis. The student will implement baseline machine learning models to identify patterns in antimicrobial resistance genes and evaluate model performance. They will also conduct controlled computational experiments, such as testing different model parameters and comparing results across datasets. The student will generate visualizations and summaries to help interpret findings and communicate results clearly. Throughout the internship, the student will follow reproducible research practices, including code documentation and version control. Regular meetings with the supervisor will provide guidance, feedback, and support. The student will also read selected research papers to understand the project context and contribute to a final report summarizing their work and key outcomes.

Skills required:
Basic programming experience in Python or R is required. Familiarity with data analysis, statistics, or machine learning is helpful but not mandatory. Students with a background in computer science, bioinformatics, data science, or a related field are encouraged to apply. Strong problem-solving skills, attention to detail, and willingness to learn new tools are important. Prior experience with biological data is an asset, but not required.

Research area: My lab builds AI models to integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) with spatial (tissue, cell, organ) and temporal (disease stage, time point) dimensions. We develop graph neural networks for spatial molecular interactions, temporal convolutional networks for progression forecasting, fine-tuned LLMs for clinical knowledge integration, and simulation frameworks for biological validation. We also explore quantum-inspired methods for complex interaction modeling. Our goal is to predict disease trajectories, drug response, and treatment outcomes, advancing personalized medicine by moving beyond "one-size-fits-all" to patient-specific therapeutic strategies based on molecular profiles.

Student roles:
Intern 1: Data preprocessing, quality control, and spatial graph construction.
Intern 2: Implement TCN and LLM integration modules.
Both interns:
- Run experiments on Lakehead University’s HPC cluster.
- Validate model predictions against biological databases.
- Co-author a conference paper or technical report.

Skills required:
Python, PyTorch/TensorFlow, basic biology or omics familiarity (transcriptomics/proteomics). Experience with GNNs or time-series models is a plus.

Research area: The Bhavsar laboratory’s specialized area of research is in pattern recognition receptors. One area we are particularly interested in is the mechanisms underlying adverse drug reactions frequently encountered with chemotherapeutics used in childhood cancer treatment. We particularly focus on cisplatin induced hearing loss and examine the role of innate immune signaling, cisplatin metabolism and proteolysis as contributors to this ADR. The goal of the research program is to discover new genes and pathways involved in the development of adverse drug reactions and leverage these insights into strategies to potentially improve the safety of children’s cancer treatments.

Student roles:
Non-laboratory roles: The student will be required to read relevant background literature and experimental protocols. A written report of the research project will be expected at the end of the 12-week period that will remain with the principal investigator. In addition, the student will be responsible for recording any new protocols developed in the course of their project. The student will be required to create a LinkedIn/Researchgate profile that includes the laboratory in their network. The purpose of this is to enable their development as highly qualified personnel (HQP) to be referenced in grant applications.

Laboratory roles: The student will work in the lab under partial supervision of a senior graduate student or the principal investigator. The student will be expected to conduct tissue culture experiments and in vitro cell-based assays. In addition to performing experiments, after appropriate training, the student will be expected to perform data analysis to be presented to their supervisor and/or at lab meetings. The student will also be assigned routine lab “jobs”, particularly those pertaining to the equipment/resources used in their project.

Skills required:
The student should have a background in biological sciences and be familiar with molecular biology and biochemical concepts. Experience with tissue culture and cell-based assays would be an asset. The student must be able to effectively communicate and must be well-organized. The student should be comfortable with, and have the ability to, work largely independently after initial training. A high degree of critical thinking skills is expected.

Research area: I conduct interdisciplinary research in artificial intelligence, bioinformatics, large language models (LLMs), and educational technologies. My work focuses on developing AI-assisted systems for genomic analysis, microbiome research, automated learning support, and data-driven educational applications. I have supervised numerous student research projects leading to publications and applied research outcomes. My research integrates machine learning, natural language processing, bioinformatics pipelines, and scalable web technologies to develop practical, privacy-conscious AI solutions for healthcare, computational biology, and higher education environments.

Student roles:
As part of the research team, the student intern will contribute to the development and evaluation of AI-assisted bioinformatics and educational support systems using locally hosted and open-source Large Language Models (LLMs). The student will participate in multiple phases of the project, including AI model evaluation, software development, bioinformatics workflow integration, and system testing.
Initially, the student will assist in fine-tuning and evaluating open-source LLMs such as LLaMA and Phi models using publicly available scientific literature, educational resources, and bioinformatics datasets. The student will help assess model performance for tasks such as research paper summarization, genomic data interpretation, workflow assistance, automated code generation, and question answering related to computational biology and microbiome research.
The student will also contribute to developing a secure web-based application that integrates the locally hosted AI models into an interactive educational and research platform. Responsibilities may include backend development, interface design, API integration, prompt engineering, testing, and user experience evaluation.
In addition, the student will participate in data analysis, documentation, preparation of technical reports, and dissemination of findings through conference presentations or peer-reviewed publications. Throughout the internship, the student will gain hands-on experience in artificial intelligence, bioinformatics, software development, and interdisciplinary research while contributing to scalable and privacy-conscious AI solutions for education and computational biology research.

Skills required:
The ideal student should have a background in computer science, bioinformatics, data science, computational biology, or a related field. Experience with programming languages such as Python or R and basic data analysis skills is preferred. Familiarity with machine learning, artificial intelligence, or bioinformatics tools would be an asset.
Students with experience or interest in large language models (LLMs), natural language processing, or AI-based applications are encouraged to apply. Knowledge of Linux environments, GitHub, or data visualization tools would also be beneficial. The student should be curious, motivated, and interested in interdisciplinary research that combines AI, bioinformatics, and computational biology.

Research area: Engineering and bioproduction of recombinat proteins, single cell microfluidic technologies (RNA), Biomaterials and organoid culture.

Student roles:
The students participating in this project will: 1. Screen and optimize biomaterial/hydrogel cross linking reactions 2. Evaluate biocompatibility of the suitable hydrogel using established cell lines 3. Develop and optimize colon organoid culture on the new biomaterial/hydrogel 3D system 4. Perform molecular characterization and validation studies. This hands-on experience will provide students with valuable skills in hydrogel crosslinking reactions, organoid culture and different molecular characterization studies.

Skills required:
Educational background: Biotechnology, Chemical engineering, Biomedical Engineering, Molecular Biology and other related domains.
Laboratory skills: Familiarity with basic laboratory techniques such as pipetting, buffer preparation, pH adjustment, cell culture etc.
Analytical techniques (preferred but not mandatory): ELISA and SDS-PAGE are advantageous.
Data analysis and documentation.

Research area: My specialized research area is environmental engineering, with a focus on sustainable wastewater and solid waste treatment. My research investigates innovative biological processes for nutrient removal and recovery, including aerobic granular sludge, algal–bacterial systems, and resource recovery from wastewater. I also work on landfill gas mitigation, biocover systems, and the beneficial reuse of waste-derived materials such as tire shreds and bio-based composites. More recently, I have explored mycelium-based biomaterials and other circular economy solutions. The overall goal of my research is to develop practical, low-energy, and environmentally responsible technologies that improve waste management, water quality, and long-term sustainability.

Student roles:
The student will play an active and important role in the successful completion of the research project. Under the supervision of the academic advisor and the graduate student mentors, the student will contribute to both the experimental and analytical components of the study.
The student will assist with setting up and operating laboratory-scale treatment systems, preparing materials and solutions, and conducting routine monitoring of experimental conditions. They will participate in wastewater sample collection, preservation, and analysis using standard laboratory procedures. This will include measuring parameters such as ammonia, phosphorus, chemical oxygen demand, pH, dissolved oxygen, and solids concentration. The student will also help maintain accurate laboratory records and ensure that all work is carried out safely and according to established protocols.
In addition to laboratory work, the student will be involved in data organization, preliminary interpretation of results, and preparation of figures and tables to summarize findings. They will participate in regular research meetings to discuss progress, challenges, and next steps. The student will also be expected to review relevant literature to better understand the scientific context of the project and to support the interpretation of experimental outcomes.
As the project progresses, the student will contribute to the preparation of a final report and may assist in developing presentation materials to communicate the research results to the academic team and project partner. Throughout the internship, the student will gain training in experimental design, environmental laboratory methods, data analysis, and research communication.
Overall, the student’s role is to function as a developing researcher who supports day-to-day project activities, contributes to problem-solving and analysis, and gains valuable practical experience in sustainable wastewater treatment research. This role will help the student build technical, analytical, and professional

Skills required:
The ideal student should have a background in civil, environmental, or biosystems engineering, environmental science, microbiology, or a related field. Familiarity with wastewater treatment processes, environmental laboratory procedures, and basic data analysis would be an asset. The student should be motivated, organized, and able to work both independently and as part of a research team. Experience with sample collection, chemical analysis, and laboratory safety is desirable but not essential. Strong communication skills, attention to detail, and a willingness to learn new experimental techniques are important. An interest in sustainability and applied environmental research is highly preferred.

Research area: Our research group studies insect behaviour, ecology and evolution. We study how insect reproductive behaviour is affected by the local environment – including the warming climate and climate extremes – and how well insect populations adapt to local conditions. We focus on freshwater insects, and aim to characterize species diversity, population divergence in morphology and behaviour, and how reproduction is influenced by increasing temperature. We undertake both field sampling and laboratory studies, and the methods we use include the automated tracking of behaviour, species distribution modelling, physiological assays, population genetics, phylogenetic comparisons, and field surveys.

Student roles:
The intern will assist a research team with:
- Sampling diving beetles in freshwater habitats, including wearing waders to enter water bodies, using nets to collect insects,
- Gathering data on environmental conditions, including keeping meticulous records of location, number of samples, and water body depth
- Processing insects in the laboratory, including species identification, preservation and record-keeping
- Imaging insect specimens and measuring morphological structures from images
- Conducting basic statistical analysis, with support from team members

Skills required:
The intern should have a background in ecology, evolution, and entomology. They should be able to distinguish the major orders of insects. Specialized insect identification skills are not required; training will be provided. The intern should be comfortable with working outside in freshwater habitats (e.g., rivers, marshes). They should have very good teamwork skills, including clear communication and reliability. A drivers’ license is helpful but not essential.

Research area: My research focuses on uncovering the molecular mechanisms that regulate gene expression during organismal development and in diseases such as cancer. I am particularly interested in the roles of microRNAs and RNA-binding proteins in controlling mRNA stability and translation. My laboratory employs a broad range of techniques, including molecular biology methods, biochemistry and cell biology approaches (e.g., CRISPR/Cas9 genome editing), along with next-generation sequencing to study protein–RNA interactions both in vitro and in vivo. We utilize diverse biological models, including mammalian cancer cell lines, stem cells, and zebrafish, to elucidate post-transcriptional regulatory networks in both normal and disease contexts.

Student roles:
The student will have their own project and work closely in collaboration with other team members and the principal investigator (PI). During the training, the student will gain extensive hands-on experience in molecular biology techniques, with a specific focus on RNA biology and cell biology. Additionally, basic training in data analysis using Python or R Studio could be provided. The student will also have the opportunity to participate in the Research Center’s activities, such as seminars, invited speaker presentations, and events organized by the student committee of the Center. Finally, the student will take part in regular lab meetings and journal clubs, where they will have the opportunity to present their research progress.

Skills required:
We are looking for a motivated student with a background in molecular biology, biochemistry, or a related field. Prior experience in using molecular biology methods, biochemical techniques, or cell culture is an asset but not required. The ideal candidate should be well-organized, capable of carefully documenting experiments, and have a strong desire to learn new concepts and methodologies.

Research area: I hold a PhD in Natural Sciences, Earth and Environmental Sciences, and have over 15 years of experience teaching and mentoring students in marine biology and related disciplines. As an experienced marine biologist and Associate Professor, my research and teaching focus on cell biology, microbiology, phycology, algal and cyanobacterial ecophysiology, marine botany, and plant interactions. I also possess advanced skills in R programming and apply statistical and data analysis methods extensively in both my research and teaching. Please check my ORCiD website: https://orcid.org/0000-0002-3147-6605.

Student roles:
The student will participate in laboratory investigations of the ecophysiology of unique picocyanobacteria Acaryochloris thomasi, focusing on the effects of environmental factors on its growth and autecology. The student will be responsible for maintaining cultures, preparing media and experimental treatments, conducting measurements of growth and photosynthetic activity, and collecting and analyzing data. Through this work, the student will gain hands-on experience in experimental design, aquatic microbial ecology, and quantitative analysis while contributing to ongoing research on the ecological responses of picocyanobacteria to changing environmental conditions.

Skills required:
The ideal candidate will be an undergraduate student with a background in oceanography, marine biology, or a related discipline. The student should possess strong organizational skills, attention to detail, and the ability to work independently as well as collaboratively in a laboratory setting. Basic computer skills and an interest in experimental research and data analysis are expected. Familiarity with the R programming environment for data analysis and visualization would be considered an asset. Previous laboratory experience would also be advantageous, although all necessary training in culture techniques, physiological measurements, and data management will be provided.

Research area: Chemical pollutants are an important threat to the health of wildlife and humans around the world. Pollutants are released to the environment, accumulate in food chain, and can reach high levels of concern in apex predators. The study of environmental toxicology is focused on characterizing the environmental distribution of chemicals as well as their potential for accumulation and toxicity in organisms. This is a gargantuan task given the thousands of new chemicals produced every year that need testing. Use of laboratory based assays (in vitro) is critical for many aspects of chemical risk characterization.

Student roles:
The student will help maintain and culture various cell lines that will be used for exposure experiments throughout the summer. The student will design and carry-out cell culture exposure experiments with difference cell lines and environmental chemicals of interest. Experiments will be designed to characterize chemical bioaccumulation and toxicity and the student will measure relevant molecular and cellular endpoints, including cell viability, cell-specific function (e.g. immune function for immune cells), receptor binding, and gene expression. The student will also be expected to analyze the generated data, write summary reports, and participate in resulting manuscript preparation with other lab members.

Skills required:
The student should have basic laboratory skills and be comfortable in a molecular biology lab setting. Experience with cell culture and cellular assays is a major asset. Background in toxicology is useful, but not necessary.

Research area: I am an Associate Professor in Food Science at the University of Guelph and lead the Food Processing, Structure and Quality Lab. My research focuses on understanding how food processing modifies food structure and composition and how these changes influence flavour, nutritional quality, digestibility, and techno-functional properties. My research integrates food processing, flavour science, advanced analytical chemistry, digestion studies, spectroscopy, imaging, and data science to develop innovative and sustainable food ingredients and products. Particular emphasis is placed on plant-based foods, fermentation technologies, and the application of machine learning to support next-generation food innovation.

Student roles:
The student will contribute to a research project investigating the use of fermentation to improve and engineer the flavour profile of plant-based foods and ingredients.

The project will begin with a comprehensive literature review to identify current research progress, knowledge gaps, and emerging opportunities related to flavour generation and off-flavour mitigation through fermentation. The student will assist in designing experimental approaches to evaluate flavour changes during fermentation of selected plant-based substrates.

The student will participate in laboratory activities involving sample preparation, fermentation experiments, and flavour characterization. A major component of the project will involve method development and analytical measurements using advanced techniques such as gas chromatography–mass spectrometry (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy to profile volatile and non-volatile flavour compounds. The student will also assist in processing and organizing analytical datasets.

In addition, the student will gain experience in multivariate data analysis and chemometrics, including principal component analysis (PCA), clustering methods, and other statistical approaches used to identify key flavour markers and fermentation-driven transformations. The student will work closely with graduate students and researchers in a collaborative environment and will participate in regular research meetings, data interpretation sessions, and scientific discussions.

By the end of the internship, the student will have developed valuable skills in flavour science, analytical chemistry, and data analysis, while contributing to research aimed at improving the sensory quality and sustainability of plant-based foods.

Skills required:
The ideal candidate is an undergraduate student with a background in Food Science, Chemistry, Biochemistry, Biotechnology, Chemical Engineering, or a related discipline. Students should have a strong interest in food innovation, fermentation, flavour science, and analytical chemistry. Experience with laboratory research, data analysis, chromatography, spectroscopy, or microbiology would be beneficial but is not required. The successful candidate should be motivated, curious, detail-oriented, and able to work effectively both independently and as part of a multidisciplinary research team.

Research area: My lab uses epigenetics to study how prenatal environments and exposures can get under your skin and affect your health. If you imagine that all genes in the genome are lightbulbs, then the epigenome is the dimmer switches on those lightbulbs, and those dimmers can get set in early life in response to specific environmental exposures. We study how epigenetic marks changes in response to prenatal environmental exposures like cigarette smoke. Epigenetics might help us understand why people who are exposed to cannabis or tobacco smoke in utero or as children are at risk of asthma.

Student roles:
For this project, the student will be generating and/or analyzing epigenetic data from a number of different types of tissues and/or cells. The student will work closely with a lab technician or graduate student, receive all training necessary to complete the project, and be encouraged to work with the team, including the PI, throughout their time in the lab. Basic bioinformatics knowledge is required to be able to understand the software used and adapt assays if necessary. The student will work with lab members to test candidate gene expression, DNA methylation, and/or histone modifications, at candidate genes or genome-wide, in already-collected samples, or tissue culture samples generated by the student over the summer. The specific tissue in which this will be done will depend on the student’s interest, but could include blood, whole lung or lung epithelia, liver, or brain. Data analysis will be done in R, with training in R if required, and the student will be expected to give a presentation to lab members at the end of their time in the lab to discuss their findings.

Skills required:
Skills needed:
Experience in a lab setting
Basic molecular biology experience
Attention to detail
Meticulous record keeping
Ability to work independently and in a team
Curiosity and willingness to try

Skills gained during the project:
Bioinformatics
Molecular biology
Pyrosequencing and/or sequencing library prep
Assay design and validation
Reporting
Presentation skills

Research area: I am an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Manitoba. My research focuses on the development of multimodal brain imaging systems, including functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and electroencephalography (EEG), as well as immersive multimedia technologies such as virtual reality (VR). My work aims to investigate brain function in both healthy individuals and clinical populations, with applications in neurorehabilitation, pain, and cognitive neuroscience.

Student roles:
The student will contribute to the project through the following activities:
(1) Development of VR-based experimental environments and interactive tasks for pain-related studies.
(2) Integration of VR systems with fNIRS acquisition hardware and experimental protocols.
(3) Support for data collection in healthy participants.
(4) Processing and analysis of fNIRS data, including interpretation of brain hemodynamic responses under different VR conditions.
(5) Assistance with dissemination of results, including preparation of conference abstracts and manuscripts for peer-reviewed publication.

Skills required:
The student should have background knowledge in at least one brain imaging modality, such as EEG, fMRI, or fNIRS, or prior experience in physiological or neurophysiological data collection. Basic programming skills in at least one language (e.g., C#, MATLAB, or Python) are required. Experience with data analysis, signal processing, or VR development would be considered an asset.

Research area: Our projects focus on a wide range of questions and species. We do research on landscape genetics, population genetics, bioinformatics, and evolutionary biogeography. Basically we use genetic markers to create a time machine and see what processes lead to the patterns we see in today's species. We are interested in how populations are evolving and what leads to populations becoming isolated.

Student roles:
The student will be doing DNA extractions, PCRs, genotyping and sequencing to collect the data. Some of the projects also involve genomics. The techniques are pretty straightforward and easy to learn. They will work with a graduate student to analyze the data. In the past students have been co-authors on conference presentations and some have even presented their findings at conferences.

Skills required:
Ideally students have some lab experience and a background in Biology, but it is not required. They must be able to work independently (after training), manage their time, follow instructions, and work in a safe manner. You will be working as part of a team.
Genetics is more important than ever in almost every field of Biology, these projects give students a great starting point to learn the genetics as well as get hands on experience developing and working on a project. The projects also allow students to combine field and lab work in a single project.

Research area: Our laboratory investigates the role of short non-coding RNAs, particularly microRNAs, as precise regulators of gene expression. These molecules are essential for normal cell function, and their dysregulation is often associated with diseases such as cancer. Some of our projects aim to uncover how microRNAs operate under various biological conditions and identify the mechanisms that control their activity. To achieve this, we use advanced techniques in genetics, molecular biology, and biochemistry. Our research relies on powerful model systems, including the nematode Caenorhabditis elegans and cultured cells, both crucial tools for discoveries in biomedical science.

Student roles:
The student will carry out their project in collaboration with a graduate student. During his internship, the intern will learn various cutting-edge techniques in genetics and molecular biology. Their participation in our activities (laboratory meetings, reading clubs) will allow them to learn how to present and analyze research work. They will also participate in our series of seminars and conferences at the center which will improve his/her knowledge on various research themes.

Skills required:
-University training in molecular, cellular biology, biotechnology
-Curious, independent person with a sense of organization
-Prior laboratory experience is an asset

Research area: There is compelling evidence that solid tumors and peripheral nerves interact and mutually support the growth of each other. However, critical molecular players involved in this interaction are not well identified. Full characterization of the tumor-nerve interface and identification of the molecular players involved will reveal novel therapeutic targets for cancer and nerve regeneration. My lab focuses on mapping the tumor-nerve interface to develop molecular targets for cancer and neurodegenerative disorders.

Student roles:
The student will perform immunohistochemistry/western blot using human tumor and corresponding normal tissue samples. They will thus determine the expression levels of adrenergic, cholinergic, and neurotrophin receptors in these tumors and corresponding normal tissues (weeks, 1-4). The student will also perform ELISA to determine the levels of neurotransmitter/neurotrophins in these samples (weeks, 5-8). Finally, the student will perform cell culture and evaluate the cell response (cell proliferation/migration/invasion) in response to combined treatments of neurotransmitters/neurotrophins (weeks, 9-12).

Skills required:
1. The student should be enrolled in an undergraduate program in any of the life sciences disciplines and have theoretical knowledge in either cell biology, biochemistry, molecular biology or pharmacology.
2. Basic practical skills in cell culture and molecular biology.

Research area: My research integrates aquatic ecology and quantitative ecology, with a focus on understanding and predicting the cumulative effects of human activities on freshwater ecosystems. I use quantitative approaches to explore ecological patterns and processes across multiple spatial scales, from local to continental, and across a range of organisms, from microbes to fish. I am committed to advancing data-driven, policy-relevant science to inform sustainable freshwater resource management.

Student roles:
The student will play an integral role in this project, contributing to key aspects of data preparation, analysis, and interpretation. They will compile and prepare data (glacial history, climate, topography, human activities) from multiple sources and conduct a literature review to inform the project’s conceptual framework and support interpretation of results.

A major component of the role involves learning and applying advanced statistical methods to examine how historic, environmental and anthropocentric factors influence fish biodiversity patterns. The student will use R for data analysis and gain valuable experience working with large ecological datasets.

As a supervisor, I am committed to providing a supportive and collaborative learning environment. I will offer regular one-on-one mentorship, guiding the student through all stages of the project from data compilation and analysis to interpretation and scientific writing. The student will also have opportunities to engage with my broader research network and contribute to publications resulting from the project.

Skills required:
The ideal student should have a background in ecology, environmental science, biology, geography, statistics or a related field, with an interest in biodiversity conservation and/or quantitative modeling. Strong analytical skills and experience with statistical analysis (preferably in R) are desirable. Familiarity with GIS and spatial data analysis is an asset but not required. The student should be comfortable working with large datasets and have strong written and verbal communication skills. Curiosity, initiative, and the ability to work both independently and collaboratively are essential for success in this project.

Research area: Dr. Jardine’s laboratory, which is affiliated with both the School of Environment & Sustainability and the Toxicology Centre, consists of six graduate students and several technicians who collectively conduct applied river research. This team studies contaminant bioaccumulation, the environmental effects of large dams on downstream wetlands, and the basic ecology of rivers and their floodplains. It seeks to use scientific information to engage communities and government agencies in effective stewardship of local aquatic resources.

Student roles:
In the interest of exposing the intern to a range of research activities, they will assist where needed during the active summer season. Dr. Jardine’s graduate students, with whom the intern will spend most of their time day-to-day, conduct a range of skill-building activities including:
- field work in rivers, lakes and wetlands in western Canada that entails collection of invertebrates and fish using varying sampling methods (dip nets, electrofishing, seine netting, gill netting, etc.)
- chlorophyll and nutrient analyses
- preparation of fish, bird and mammal tissues (weighing, measuring, dissection, drying and grinding)
- encapsulating tissue samples for stable isotope analysis- measurement of mercury in tissues by Direct Mercury Analysis
- use of high-tech sondes to measure water quality.

The intern will be given the opportunity to participate in and lead many of the above activities, and will learn novel technologies and procedures including field collection of samples, preservation and extraction of samples, analysis of samples applying a range of state of the art analytical, biochemical, and molecular techniques, as well as data analysis. They will learn how to plan and execute field trips, how to maintain equipment, how to conduct aquatic sampling, and how to keep good records in the laboratory. All of these skills are transferable as they continue in their scientific careers.

Skills required:
We require an intern who has an academic background in biology/ecology and who is willing and eager to participate in field work in rivers, lakes and streams. The field work can be challenging, so demonstrated time spent outdoors (e.g. camping) would be necessary. Some experience working with animals would be considered an asset. The intern will also work in the laboratory and will be expected to keep good records and follow standard laboratory protocols.

Research area: The Toxopeus lab (https://jantinatoxopeus.com/) focuses on understanding how animals and their cells survive in challenging environments, especially low temperatures associated with winter. This is important for understanding how organisms tolerate current environmental stressors, and how they might respond to future changes in their environment (e.g. due to global climate change), with implications for forestry, agriculture, and human health (e.g., when studying insect pests and vectors of diseases). Our work on freeze-tolerant insects also has implications for understanding cryopreservation, an important technique for preserving cells and tissues for biomedical purposes.

Student roles:
The student will learn how to collect insects and environmental data, rear insects and their parasitoids, record the data from these experiments in an organized fashion, and (if interested) develop computational models that help predict insect presence and abundance. The student will also learn how to analyze the data and present it in visual or graphical form to share the information with their supervisor and other scientists. The student will also be expected to spend some time learning about the project by reading scientific literature, and may be expected to contribute to the process of publishing the results from their project. All students in the Toxopeus lab regularly meet with Dr. Toxopeus and participate in group laboratory meetings.

Skills required:
Some experience with field work, entomology, or forestry is an asset, but not required. Some experience using the techniques described in the “required role” section would also be an asset, but are not required. Students will be fully trained in relevant background knowledge and techniques for their project while in the Toxopeus lab.

Generally, research projects are most successful when students have strong attention to detail, organization, and time-management skills. It is also important to be able to work well independently and as part of a team. Finally, a general curiosity about the way biology works is always good!

Research area: My research strives to understand how and why biodiversity varies in space and time, primarily focusing in how the climate, landscape, and human activities determine the structure and functioning of aquatic ecosystems. These determining factors have complex effects over aquatic ecosystems, and might change not only species distribution and local diversity, but also the interaction networks and ecosystem services shaped by them. Therefore, it is crucial to advance the capacity of predicting ecosystem structure and functioning in face of a changing environment in order to subsidize an effective management and conservation of nature.

Student roles:
The student will participate in two primary activities: (i) data extraction and (ii) data analysis. Data extraction will follow a standardized protocol, in which the student will be trained before the beginning of the process. A list of references will be provided to the student, and they will read through the manuscript to identify a sequence of information and fill out a database with them. Given that some of the information to fill out the database might require expert judgement, the student will have to often meet or discuss with the supervisor to adjust information. In addition, some steps of the data extraction be required to follow a workflow in R, which will also be part of their training. Finally, the student will be supervised in analyzing the extracted information using a pre-established workflow in R and summarizing the main outcomes of their work in a simple report. By the end of the training period, I expect the students to develop skills in performing data extraction from the primary literature and managing large-scale databases using Excel and R. They will also be introduced to skills related to summarizing a large quantity of information and writing technical reports.

Skills required:
The student must have a background in environmental sciences, zoology, or ecology in order to better grasp the goals and nuances of the project. Students with specific research experience in natural history or freshwater ecology are preferred. In addition, students with some practice performing literature reviews and/or using Excel would be preferred given the main tasks they would carry over here. Practice in the use of R for data analysis is a plus, but not mandatory.

Research area: My research program is centred around understanding plant immune signalling and disease resistance in a changing environment. The overarching vision is to: (1) discover novel regulators of temperature-sensitive immunity; (2) determine if temperature-regulated immunity is conserved in diverse species; and (3) develop innovative technologies to repair the immune system and generate climate-smart plants. We integrate multiple approaches, from molecular biology and genetics to microbiology and biochemistry, to investigate the profound impact of changing temperatures on plant immunity and disease. It is anticipated that fundamental discoveries can be leveraged towards disease prevention and climate resilience programs in Canada and globally.

Student roles:
The student will be involved in experimentation, data collection and data analyses. They will maintain their own tomato plants and initiate Pst DC3000 bacterial cultures for pathogen inoculation assays. They will inoculate plants with pathogen and collect tissue samples along a time course of infection. The student will use these tomato samples for defence gene expression analyses (RNA extraction, cDNA synthesis and qRT-PCR), SA measurements (biosensor luminescence assay) and bacterial growth determination (colony counting).

Skills required:
Required: Background in biology, basic lab experience
Preferred (but not required): Advanced skills in molecular biology, microbiology and plant biology

Research area: In my research group we combine population genomics, classical genetics, biochemistry, physiology, molecular biology, phylogenetics, neurobiology and behavior. The interdisciplinarity is achieved thanks to wide range of collaborations as well as our willingness and courage to explore unknown. We work on wide variety of organisms from birds to plants, with main model species of canary birds. Other than genotype phenotype association we are also interested in understanding how gene function and expression evolve across species as well as how is it impacted by organismal biology, physiology and environment.

Student roles:
Candidates depending on their experience and interest will be able to develop the bioinformatics skills, by managing the transcriptomics data, investigating batch effect, mapping, performing gene expression analysis. Additionally there will be opportunity to learn practical skills in molecular biology lab, such as extracting RNA, preparing sequencing libraries, qPCR. Each intern will be expected to write a report based on their projects as well as present it at the group meeting. Potentially the mix of both, so the computer analysis combined with the bioinformatics is also possible.

Skills required:
Candidates for the internship should be interested in evolutionary biology. Basics of scripting/basic programming will be beneficial but not required. General understanding of evolutionary biology, genetics and genomics or computer science will be helpful in order to work in an interdisciplinary team with background in biology and computer science. Interest in gene expression evolution will be an asset. Students should be willing to work collaboratively as a part of the team, with professionalism, attention to details and eager to learn.

Research area: Male and female animals may senesce at different speeds if their activity patterns have different propensities for tissue, cellular, and DNA damage. In large carpenter bees, males experience more rapid physical senescence and have shorter lives than females, as a consequence of their physiologically demanding territorial behaviour (hovering and fighting in full sun, sometimes at high temperatures). Also, male bees are haploid, lacking DNA repair systems that operate effectively in diploid females. Our lab is testing the hypothesis that the shorter lifespans of male bees reflect greater, cumulative physiological and genomic damage due to the extreme demands of territorial behaviour.

Student roles:
The student will participate in all aspects of the project:
1. Fieldwork to identify and collect male carpenter bees.
2. Caring and maintaining live males in the lab.
3. Specimen preparation for RNASeq: freezing specimens in liquid nitrogen, evaluating body size and physical wear and tear, dissecting tissues, preparing RNA.
4. Cleanup, processing, and analyses of RNASeq data. Student will have the option of choosing specific biochemical pathways to focus their project on.

Skills required:
Students should have taken courses in molecular biology. Experience in ecology, behaviour, evolutionary biology, and entomology would be beneficial. Enthusiasm for quantitative data analysis is crucial, as is willingness to learn programming in R and Python for bioinformatics.

Research area: We are interested in gene regulation in pathogenic bacteria. Our lab uses molecular biology techniques to better characterize genes involved in virulence. Our research is organized around four main avenues: (1) Bacterial gene regulation that promotes and sustains infection in vertebrate hosts, (2) Pathogen-host and pathogen-vector interactions that enable bacterial survival and transmission, (3) Enhancing molecular research by creating new reagents and tools to enhance our understanding of understudied bacteria, and (4) Translational applications utilizing our discoveries to identify new therapeutics, vaccines, and antimicrobial strategies to combat infectious diseases and address the growing threat of AMR.

Student roles:
The student will be expected to grow required bacterial stocks, perform biochemical assays, and cloning.To perform these experiments, the student will be expected to:
Prepare various required media
Maintain accurate daily records
Interpret, evaluate, and discuss the results of each experiment with the supervisor as part of the planning process for studies.
Write reports
Maintain accurate daily records of experiments and results in pen in bound laboratory notebooks.
Interpret, evaluate, and discuss the results of each experiment with the supervisor as part of the planning process for studies.
Write reports of findings, stating methods and procedures, including modifications, specimens and materials involved, and results of experiments.
Select the appropriate methodology and procedure to meet the experimental objectives.
Make minor modifications of adaptions to established methods, procedures, and/or techniques to solve problems in the work.
Assist in the analysis and interpretation of data and prepare summaries of laboratory findings to be used in reports and papers to be presented at scientific
meetings and/or publications.
Collaborate with scientists from other organizations or institutes involved with similar research projects.

Skills required:
Knowledge in performing a wide variety of complex procedures and techniques which may include, but are not limited to: microbial cell culture and basic manipulations, proper aseptic technique, phage isolation and purification, phage plaque assays, PCR amplification of gene sequences, design of synthetic
genes, gene cloning, bacterial transformations, gel electrophoresis, DNA analysis, DNA isolation, DNA purification, DNA sequencing, DNA gel purification, protein purification and analysis, western blots, PAGE, knowledge in presenting and interpreting data.

Research area: In my research group we combine population genomics, classical genetics, biochemistry, physiology, molecular biology, phylogenetics, neurobiology and behavior. The interdisciplinarity is achieved thanks to wide range of collaborations as well as our willingness and courage to explore unknown. We work on wide variety of organisms from birds to plants, with main model species of canary birds. Other than genotype phenotype association we are also interested in understanding how gene function and expression evolve across species as well as how is it impacted by organismal biology, physiology and environment.

Student roles:
Candidates depending on their experience and interest will be able to develop the bioinformatics skills, by managing the sequencing data, analysis whole genome sequencing data and comparing one phenotype with other, with basic population genetics statistics (eg. FST). Additionally there will be opportunity to learn practical skills in molecular biology lab, such as extracting DNA, preparing sequencing libraries, qPCR. For interested candidates potential to mix both, so the bioinformatics combined with the wet lab. Each intern will work on their own small project, that later will be implemented in the larger work. Each student will be expected to write a report based on their projects as well as present it at the group meeting.

Skills required:
Candidates for the internship should be interested in evolutionary biology. Basics of scripting/basic programming will be beneficial but not required. Previous wet lab experience for a candidate in more laboratory experience will be beneficial. General understanding of evolutionary biology, genetics and genomics or computer science will be helpful in order to work in an interdisciplinary team with background in biology and computer science. Students should be willing to work collaboratively as a part of the team, with professionalism, attention to details and eager to learn.

Research area: The Buddenborg lab develops and utilize cutting-edge genomics tools to understand the developmental biology of parasitic worms that infect humans and animals. We combine expertise in computational and molecular biology to apply single-cell sequencing technologies for genome-led drug discovery.

Student roles:
The student will assist lab members in smRNA-FISH experiments and/or computational analysis of single-nuclei RNA-seq data from parasitic nematodes. Depending upon prior experience, an independent project can be arranged.

Skills required:
We are looking for students with an interest in either wet or dry lab techniques. The computational student would need to have existing basic knowledge of unix systems and basic coding experience. The wet lab student would need to understand the basics of RNA biology, RNAi techniques, and single molecule fluorescent in situ hybridization. Prior research experience is highly desired but not necessary.

Research area: I lead a research program in global pediatric infections. Diseases of focus include some of the leading infectious disease killers of children in the world today: Ebola virus disease, malaria, and pneumonia. Study methods include translational science, epidemiologic studies, and clinical trials. I operate field sites in Uganda and the DRCongo. His research is improving outcomes in children with serious infections in some of the least developed areas of the globe. This program of research is anchored in a philosophy of global interdependence and ethical duty toward the world’s least advantaged children.

Student roles:
In this research project, the student will analyze quantitative field data to evaluate risk factors and assess a critical research question: What is longitudinal course of AST and ALT in Ebola virus survivors and fatalities? The ultimate objective is to complete a research manuscript for peer-reviewed publication by the end of the summer. Through this hands-on experience, the student will develop core competencies in clinical data processing, modeling, and visualization. By evaluating these datasets, the student will learn to identify statistical associations, critically assess cause-and-effect relationships, and synthesize complex findings for a medical audience. This role offers a unique opportunity to engage directly with researchers and CHWs in the DRC, providing valuable exposure to global health settings, diverse cultural contexts, and international healthcare systems. Finally, the project will significantly strengthen the student's scientific writing and communication skills. By taking a lead role in drafting the manuscript, the student will master the structure of academic papers, learn to translate raw statistical results into clear narrative conclusions, and develop the ability to defend data-driven interpretations in a direct, accessible, and scientifically rigorous manner.

Skills required:
Interest in infectious diseases, clinical medicine, or public health. Because the data from the 340 patients have already been collected, this role focuses heavily on scientific literature review, data interpretation, and manuscript drafting. The ideal candidate does not need advanced statistical skills but should possess excellent scientific writing abilities and a keen interest in learning how clinical biomarkers relate to patient outcomes. Guidance will be provided for the statistical analysis, making this an ideal project for a student looking to develop their medical writing skills and gain experience in longitudinal analysis.

Research area: Dr. Yan Wang is interested in fungal genomics and evolution using whole-genome scale data across the Kingdom Fungi. Part of the Wang Lab efforts is to create and analyze new data at the -Omics levels, including genomics, transcriptomics, metabolomics, and proteomics, aiming to find important evolutionary changes and adaptation strategies (e.g., whole-genome duplicaon, inter-species hybridizaon, horizontal gene transfer, noncanonical genec codon usage) employed by microbial fungi to fulfill their lifecycle and in interacons with various hosts, such as animals, plants, prosts, etc.

Student roles:
The student working on this project will help identify HGT candidates in newly assembled fungal genomes using lab pipelines and tools. The student will be able to refine the tools and improve the overall efficiency. The student will be able to learn from the experts and collaborate with multiple internationally renowned scientists. A high-impact research report will be aimed for publication at the end of the project.

Skills required:
Minimum requirements: Basic programming skills in Linux, Python, and R; effective communication skills
Preferred qualifications: strong interests in comparative genomics, data visualization, and competencies in writing and public speaking.

Research area: I specialize in disturbance ecology, plant colonization and invasion, and biodiversity responses to climate change. I am co-PI of the Alpine Horizons Research Initiative, which aims to better understand and steward British Columbia’s alpine ecosystems in the south Coast Mountains. Drawing on more than a decade of research in temperate forest, Arctic, and alpine systems, I have published in leading journals (e.g., Biological Conservation, Forest Ecology & Management) and was an invited contributor to the Canadian Mountain Assessment, a peer-reviewed synthesis of Western and Indigenous knowledge. I also develop and evaluate virtual and augmented reality experiences for communicating bio-geoscience.

Student roles:
The successful candidate will assist with pre-trip planning (packing equipment, attending meetings), data collection in the field (hiking into and camping at Taylor Meadows campground to conduct field work including plant surveys, environmental sensor installation; possible drone image collection), and post-trip data processing (data entry, quality checking, data management and analysis if trained). With direct supervision from the project manager, the candidate will learn to complete field research, coordinate tasks with the field team, as well as develop basic computational skills for data management. Candidates from ecology/biogeography/environment backgrounds and experiences are encouraged to apply, and must demonstrate a strong motivation to learn how to safely and efficiently conduct field work in teams.

Duties may partially change, but will likely include some of the following :
Pre-fieldwork
• Attending and organizing pre-trip meetings (~1-3x month from June-August)
• Coordinate communication among the project team regarding field dates and campsite arrangements
• Preparing for multi-day camping trips
Fieldwork
• Hiking into and camping in Taylor meadows and nearby site(s) for 4-5 x 3 to 5-day trips in Jun, Jul, Aug
• Setting up transect studies, climate stations, and cameras early in the summer (during a 3-4 day trip in June)
• Learning plant species identification
• Measuring, scoring and evaluating of plant species and traits (specific leaf area, number of leaves, etc.)
• Working with supervisor to sample tree rings from meadow populations for age-size classification
• Potentially: Collecting remotely sensed imagery, either in lab or field (drone imagery) for pixel classification
Post-trip
• Organizing and backing up of data in spreadsheet
• Meeting to discuss post project survey/feedback, assessment of goals met, skills acquired.
• There may be work with satellite and/or drone imagery for pixel classification if the student is qualified

Skills required:
The student should have a background in a discipline related to ecology/biology/environmental science. Experience working with environmental and geospatial data (GIS/geomatics) and/or remotely sensed data is an asset but not required. Training will be provided during the course of the position, but preference will be given to students who have experience in, and are highly motivated to conduct remote field work in alpine settings (e.g., European Alps, North American alpine systems). Experience working in the alpine, camping, and working with plants is desirable. We encourage students with reasonable level of experience in plant ecology or lab data analysis to apply.

Research area: Nuclear architecture in disease (cancer and Alzheimer's Disease), 3D imaging, super resolution imaging, fluorescent in situ hybridization, quantitative imaging and analysis, biomarkers of disease

Student roles:
- carry our research
- summarize data
- present data
- participate in lab meetings

Skills required:
- able to perform lab work with precision
- able to document daily lab activities
- able to conduct SOPs after training
- able to present data and work in a team

Research area: My research focuses on understanding how plants maintain healthy relationships with the microbial communities that live on and within them, collectively known as the plant microbiome. These microbes influence plant growth, nutrient uptake, stress tolerance, and disease resistance. Using the model plant Arabidopsis thaliana, my laboratory combines genetics, microbiology, molecular biology, genomics, and bioinformatics to identify plant genes that regulate microbiome composition and function. The long-term goal is to uncover mechanisms that promote beneficial plant–microbe interactions and support plant health, providing knowledge that may contribute to more resilient and sustainable agricultural systems.

Student roles:
The student will contribute to an ongoing research project aimed at identifying plant genes that promote healthy microbiomes and support plant health. Working under the supervision of the principal investigator and alongside other laboratory members, the student will participate in a range of research activities related to plant genetics, microbiology, and molecular biology.

Specific responsibilities may include plant cultivation and maintenance, phenotypic characterization of Arabidopsis mutant lines, microbiota sampling and quantification, genetic crosses, DNA extraction, preparation of samples for sequencing, data collection, and basic data analysis. Depending on project progress and the student’s interests and abilities, additional opportunities may include molecular cloning, genotyping, and bioinformatics analyses.

The student will be expected to maintain accurate laboratory records, follow experimental protocols and safety procedures, participate in regular meetings, and communicate research progress with supervisors and team members. They will be encouraged to contribute ideas, ask questions, and develop increasing independence in experimental design and problem solving as the project progresses.

Throughout the placement, the student will receive training and mentorship in laboratory techniques, data interpretation, scientific communication, and responsible conduct of research. By the end of the project, the student is expected to have developed practical research skills, gained experience working in a collaborative research environment, and contributed to generating new knowledge about the genetic mechanisms that regulate plant-microbiome interactions.

Skills required:
This project is open to undergraduate students with an interest in plant biology, microbiology, genetics, or related fields. Previous research experience is an asset but is not required. The most important qualifications are reliability, responsibility, attention to detail, and a willingness to learn. Students should be able to follow protocols carefully, maintain accurate records, and communicate effectively with supervisors and team members. Successful applicants will demonstrate curiosity, initiative, and a positive attitude toward problem solving. Training will be provided in all necessary laboratory and analytical techniques, allowing students to develop research, critical thinking, and scientific communication skills.

Research area: Our lab focuses on understanding immune responses in cancer and discovering biomarkers for early disease detection. Our interdisciplinary research integrates in vitro diagnostics, spectroscopy, and machine learning to investigate the metabolic reprogramming of immune cells within the tumor microenvironment, with applications spanning both cancer and oral health. The goal is to bridge the gap between fundamental scientific discoveries and clinical applications, particularly in the area of early disease detection.

Student roles:
The student will perform experiments related to immune‑cell reprogramming. This includes maintaining immune‑cell cultures, applying defined cytokine, metabolic, and establishing co‑culture systems with target or stromal cells to model microenvironmental interactions. They will perform functional assays, including cytokine‑release assays (ELISA), phagocytosis or cytotoxicity assays, viability/proliferation assays, Seahorse extracellular flux analysis to quantify metabolic reprogramming (OCR/ECAR), raman data colelction, Dna/Rna extraction. The student will be responsible for optimizing assay conditions, troubleshooting experimental variability, and ensuring high‑quality data collection.
The student will analyze results using appropriate software, generate publication‑quality figures, and contribute to scientific interpretation of immune‑cell state transitions. They will prepare structured experimental summaries, assist in drafting manuscript‑style sections (methods, results, figure legends). The student will participate in regular discussions to refine hypotheses, compare experimental conditions, and propose follow‑up assays. Overall, they will play an active role in both the experimental and scientific‑communication components of the project. Students from any background who feel they can meaningfully contribute are welcome to apply.

Skills required:
The student should have prior experience with mammalian cell culture, including aseptic technique, media preparation, and maintaining suspension or adherent cell lines. Familiarity with basic immunology, cytokines, and cell‑state transitions is helpful. Experience performing functional assays such as ELISA, ROS/NO detection, viability assays, or cytotoxicity/phagocytosis assays is strongly preferred. The student should be comfortable following detailed protocols, handling biological samples, and recording experimental data. Basic data‑analysis skills using Excel, GraphPad, or Python/R are an asset. Prior exposure to co‑culture systems, flow cytometry, or microscopy is beneficial but not required.

Research area: The Pardy lab studies interactions between cytokines called interferons and intestinal epithelial cells (IEC). These cells form the barrier between the contents of the intestine and the rest of the body. However, they are often the target of infection for many orally infectious pathogens. Determining how IEC respond to interferons to defend themselves could be useful to improve how we treat gastrointestinal infections while limiting inflammatory side effects.

Student roles:
Conduct experiments and data analysis, have weekly meetings with the supervisor, analyze data, and present twice in lab meeting (once at start and end of internship).

Skills required:
Knowledge of immunology and familiarity with related lab techniques.
Familiarity with R Studio/sequencing techniques (e.g. 16S) and analysis is an asset.

Research area: Alvars are naturally-occurring dry grasslands established on thin, discontinuous soils overtopping limestone plains. They are special, globally-rare ecosystems that support a variety of rare, endemic, and threatened species that are not found anywhere else, and thus, are important sites for conservation. An important threat to alvar ecosystems is livestock grazing. The purpose of our study is to examine how livestock grazing intensity (non-grazed, moderately grazed, heavily-grazed) impacts native, endemic plant communities in the Carden Alvar located in Ontario, Canada.

Student roles:
The students will assist my graduate students with the field work described above.
There is also opportunity to contribute with the writing of manuscripts & be included as an author in a peer-reviewed publication. An example of my past Mitacs students contributing to a publication can be viewed here: https://www.tandfonline.com/doi/full/10.1080/03055698.2024.2405809
Four of the authors are former Mitacs student interns
Students will also help with periodic outreach events that help to inform the public about the importance of alvar communities.

Skills required:
Students who have some field experience are preferred, but this is not a requirement. We are mostly looking for enthusiastic students with a keen interest in biological conservation.
We will be providing training on plant identification as well as community & landscape ecology.
A statistics background is also desirable, but again, not a requirement as we will provide training on the techniques needed to complete our study.

Research area: I am a translational scientist, who uses a blend of in vitro models and clinical studies to decipher host pathogens dynamics that contribute to infection clearance and resistant/tolerant phenotypes in eukaryotic pathogens (parasites and fungi).

Student roles:
The student will specifically conduct the protein quantification, and RT-qPCR (RNA expression) necessary for this project. They will independantly analyse the data and be trained and mentored in analysing their experimental results.
Depending on the project's progress, the student will also be involved in RNA sequencing experiments design and implementation.

Skills required:
Experience in wet lab methods (PCR, qPCR, western blot, electrophoresis, microscopy), ability to work in aseptic conditions.
Organized, best laboratory practices, and scientific integrity are paramount.
Any health or biological sciences (including medicine, pharmacy programs) is preferrable.
The student must be able to work in a team environment, interact respectfully with their peers, and work collegially.

Research area: This project deals with the discovery of new bacteriophages (phages in short, i.e. viruses that infect bacteria but not humans), for the development of technologies for therapies, detection and prevention of bacterial diseases. The project will be conducted under the supervision of Professor Ilaria Rubino, who specializes in the fields of phages, phage engineering, and antimicrobial materials. She focuses her research themes on the synergy between materials, biological systems and infection prevention, in order to develop technologies that aim to improve global health and pathogen control.

Student roles:
In order to discover phages, the project will include:
1) Collecting environmental samples (from soil, lakes, rivers, crop fields, etc.);
2) Culturing of the targeted bacteria;
3) Isolation and purification of phages contained in the environmental samples;
4) Phage amplification;
5) DNA extraction from the phages for sequencing;
6) Characterization of the phage virulence against an array of bacteria;
7) Visualization of the phages by transmission electron microscopy (TEM);
8) Naming and archiving the new phages;
9) Analysis, interpretation and summary of the results.
The project will be mainly carried out in the laboratory of Professor Rubino as well as in the laboratories of the Department of Chemical and Biotechnological Engineering, located at the Faculty of Engineering of the Université de Sherbrooke. The work environment in Professor Rubino’s group aims to provide opportunities for initiation and consolidation of the students’ research skills. The interpretations and ideas of all group members are taken into consideration and greatly encouraged. The student will be invited to share their questions and results during weekly meetings. The student will have the opportunity to interact with the technicians of the Department of Chemical and Biotechnological Engineering, as well as with collaborators in the Faculty of Medicine and the Department of Biology with whom Professor Rubino collaborates for phage isolation efforts. The student will have access to a desk and all necessary equipment.
The student will plan their research work, ensuring a flexible work schedule; if needed, the dates of beginning and end of the internship could be modified. The student will be offered the opportunity to present at student symposia.The results could lead to a scientific publication.

Skills required:
Introductory knowledge on the following topics would be an asset, but not a requirement:
(i) Microbiology: bacteria cultures, phages;
(ii) Molecular biology: isolation, digestion and sequencing of DNA
(iii) Preparation of TEM samples and image analysis

Research area: My research integrates aquatic ecology and quantitative ecology, with a focus on understanding and predicting the cumulative effects of human activities on freshwater ecosystems. I use quantitative approaches to explore ecological patterns and processes across multiple spatial scales, from local to continental, and across a range of organisms, from microbes to fish. I am committed to advancing data-driven, policy-relevant science to inform sustainable freshwater resource management.

Student roles:
The student will contribute to data preparation, spatial analysis, statistical modelling, and interpretation. They will compile and organize existing lake physicochemical, phytoplankton, and zooplankton datasets, and assist with delineating watershed boundaries and extracting land cover and land-use variables using GIS and geospatial databases.

A major component of the role involves learning and applying advanced statistical methods, such as multivariate analysis and structural equation modeling (SEM), to examine how landscape factors influence aquatic communities and/or food-web dynamics. The student will use R for data analysis and gain valuable experience working with large ecological datasets.

A major component of the role involves learning and applying advanced statistical methods, such as multivariate analysis and structural equation modeling (SEM), to examine how landscape factors influence aquatic communities and/or food-web dynamics. The student will use R for data analysis and gain valuable experience working with large ecological datasets.

As a supervisor, I am committed to providing a supportive and collaborative learning environment. I will offer regular one-on-one mentorship, guiding the student through all stages of the project from data compilation and analysis to interpretation and scientific writing. The student will also have opportunities to engage with my broader research network and contribute to publications resulting from the project.

Skills required:
The ideal student should have a background in ecology, environmental science, biology, statistics or a related field, with an interest in aquatic ecosystems and quantitative modeling. Strong analytical skills and experience with statistical analysis (preferably in R) are desirable. Familiarity with GIS is an asset but not required. The student should be comfortable working with large datasets and have strong written and verbal communication skills. Curiosity, initiative, and the ability to work both independently and collaboratively are essential for success in this project.

Research area: The Green Safe Water Lab, run by Professor Heather Buckley, is associated with IESVic and CAMTEC at the University of Victoria. We are committed to providing safe drinking water to communities in a sustainable, energy efficient manner. We span the interface between chemistry and civil engineering, with a dose of life cycle thinking and public health.

Student roles:
The Research Assistant will work closely with Prof. Buckley and graduate students in the Green Safe Water Lab to prepare new photoactive materials and develop assays for monitoring degradation of contaminants of emerging concern by mass spectrometry and other methods. This will include: synthesis, characterization, spectroscopy, and data analysis to determine impacts of different conditions on degradation pathways. The Research Assistant will be trained in all of these techniques, and will be expected to keep careful records of their work, and will have opportunities to present their research within the team and in the broader university community.

Skills required:
Introductory laboratory experience, intro chemistry. Experience in a "wet lab", and with project design and management is an asset. Experience with synthesis and spectroscopy are assets but not required. Experience working with surface chemistry and materials is a bonus!
The student is expected to be responsible, professional, and communicate clearly and promptly with members of our team. We are a diverse group and we are thrilled to have international students joining us!

Research area: Gene regulation plays a crucial role in the development, progression and treatment of diseases. Central to these mechanisms is the role of transcription factors which dictate the gene expression program. In cancer, aberrant regulation of transcription factors is often associated with gene programs promoting cell proliferation, survival, angiogenesis, and metastasis. Accordingly, multiple therapeutic approaches aim at controlling transcription factors. However, while efficient at first, tumors will develop resistance mechanisms to circumvent the therapeutic pressure. We are studying how the transcriptional program of cancer cells evolve under treatment to uncover new therapeutic approaches to optimize transcriptional interventions.

Student roles:
Applicants will join the laboratory of Dr Steve Bilodeau located at the Centre de Recherche du CHU de Québec – Université Laval. Selected students will be joining ongoing projects with established protocols and procedures. Senior research assistants and students will provide daily supervision and training to execute the experiments and analyses. Students will be expected to gradually reach independence and the ability to design and conduct experiments before the end of their internship.

Skills required:
Candidates from the entire spectrum of biomedical research are welcomed (computational, experimental, and clinical). In addition, candidates from other research fields (informatics, mathematics, engineering, etc.) are welcome to apply if they can clearly explain their rationale to pursue a career in biomedical research. Candidates will be selected based on their accomplishments and research experience.

Research area: Our neuroscience laboratory is working with monkeys to asses the long term effect of different drugs. Our lab has built different tests to measure monkeys and rats behaviour.

Student roles:
We acquire large amount of video feed from monkeys that have been manually scored by human observer. The trainee can propose different model and test them to find the best model to match the human observer.

Skills required:
Bash (needed) since we are using HPC, we are using super computer cluster.
Mostly Python programming in VSCode and Jupyter.
Then some basis in openCV, Yolo, Tensorflow, Pytorch, Keras, Sciklit (not necessairly all of them).
Basic SQL to acces the database.

Research area: We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpetable patterns and lead to new biological insight.

Student roles:
You will help design and test the new system, potentially prepare it for distribution to the public, and draft a manuscript to submitted to a journal on its operation.

Skills required:
Required:
- experience with Python or R
- coursework in computer science, electrical engineering, statistics, or similar areas and interest in biology OR coursework in biology and interest in computational science

Preferred but not required:
- coursework in statistics
- experience with Unix and shell scripts
- experience with NumPy, Pandas, and Seaborn

Research area: One of my research lines focuses on trait-based ecology and its applications to understand how anthropogenic and natural environmental change is affecting the structure of freshwater communities and associated ecosystem services. In this research line, I investigate how ecological traits mediate species responses to environmental change and shape community assembly and ecosystem services across biomes. I use multiple statistical approaches and open ecological datasets to understand patterns of functional diversity, and I am particularly interested in identifying general principles that explain community structure across regional species pools.

Student roles:
The student will work closely with the supervisor and lab members to conduct trait-based analyses of regional fish assemblages. Their role will include: 1) conducting literature reviews to identify ecosystem services associated with freshwater fishes; 2) assisting with trait data compilation by reviewing databases and extracting values from published sources; 3) cleaning and organizing species occurrence and trait datasets in R; 4) performing multivariate analyses to ordinate species and identify major axes of trait variation; 5) participating in weekly lab meetings and discussions. The student will be mentored in handling and organizing ecological data, trait-based ecology, and programming applied to biodiversity science. By the end of the internship, the student will have developed transferable skills in data handling and visualization.

Skills required:
The student should have a background in ecology, biology, or environmental science and be familiar with ecological concepts related to biodiversity and species ecological niches. Experience with R programming and statistics is strongly preferred. Previous experience with fish biology, community ecology, or multivariate statistics is considered an asset but not required. An interest in biodiversity science is essential.

Research area: Our research group studies the impacts of environmental change on biodiversity and ecosystem services, such as clean drinking water, climate regulation, and food production. These ecosystem services are mediated in large part by microorganisms, including bacteria and fungi as well as viruses, which directly and indirectly influence the transformation and trophic transfer of carbon and nutrients through ecosystems. We merge theory and approaches from biology and chemistry to study how microbial community structure and function change because of climate change and the implications for ecosystem-scale processes. The outcomes of our research will help society mitigate the impacts of climate change

Student roles:
The student will work in a team of graduate students and postdoctoral researchers to undertake field and laboratory work related to environmental microbiology, organic matter biogeochemistry, and climate change. Potential field work will involve collecting permafrost samples from Arctic environments in Canada. In the lab, the student will learn techniques for the extraction of nucleic acids from sediments and the preparation of samples for metagenomic sequencing via the PromethION platform from Oxford Nanopore Technologies. The student will also receive training on techniques for cell suspension, flow cytometry, and encapsulation for single cell genomics approaches. Additionally, there will be opportunities to analyse the composition of organic carbon in permafrost samples using one of the most advanced mass spectrometers in the world: a Fourier-transform ion cyclotron resonance mass spectrometer at the Trent University Water Quality Centre. The student will be trained in bioinformatics and statistics to conduct an analysis of permafrost microbiomes and viromes. Depending on the student's interests, they will undertake an independent analysis of how microbial biodiversity in permafrost changes across time, linking taxonomic and functional composition of microbiomes to organic matter composition, or mapping potential pathogen-host interactions that could impact the assembly of microbiomes following thaw. Throughout, the student will learn standard laboratory operating procedures and statistical modelling (including computer programming). The student will also be provided with all relevant health and safety training, including for outdoor field work and first aid in remote locations.

Skills required:
The student should be enrolled in a degree program in biology, ecology, chemistry, earth sciences, or a similar discipline. Ideally, the student will already have some laboratory and fieldwork experience and skills in data science (e.g. relevant courses), but training in will be provided by our research group in molecular biology and bioinformatics as well as other relevant analytical techniques.

Research area: Formation of precise connections between nerve cells is critical for proper wiring and functioning of the nervous system, and alterations in these pathways may underlie developing brain disorders. Research in my lab to understand how neurons become organized into neural circuits and to uncover the molecular and cellular pathways that specify their wiring patterns. We are particularly interested in the development of inhibitory nerve in the cerebellum and cortex. We use transgenic mouse models and integrate a variety of approaches such as molecular genetics, confocal microscopy, mouse brain histology, and mouse behavior.

Student roles:
The student will be responsible for planning, preparing and executing experiments, with training and supervision. The student will also be responsible for organizing and analyzing data. The student will receive hands-on training for tissue histology (animal models), confocal microscopy and quantitative image analyses.

Skills required:
A student with a background in the biological sciences, and who is keen to learn new techniques and interested in microscopy and quantitative image analyses would be well-suited for this project. Background in neuroscience and/or experience in molecular biology lab are assets, but not a requirement.

Research area: We are investigating the interactions between marine protists (single-celled eukaryotes) and the bacteria present in their surrondings. We employ genomics, bioinformatics and molecular biology approaches and our conceptual framework relies strongly on evolutionary biology.

Student roles:
The student will join a project aimed to sequence and analyze the genomes of microbes. Activities may include DNA and RNA purifications from tissues and/or cell cultures, performing molecular biology protocols to process the DNA for next-generation DNA sequencing. The student will also assist in processing the sequence data using bioinformatics tools. During the stay, the student will be a regular member of the laboratory and as such, engage in shared lab duties and other activities such as training sessions, lab meetings, seminars etc.

Skills required:
Intermediate knowledge of genetics, molecular biology and metabolism (biochemistry). Good computing skills overall, including comfortable use of network tools such as FTP, proper use of spreadsheets to organize data. Familiarity with computer applications for genetics including sequence searches using online tools such as Blast and basic knowledge of sequence file formats. Scripting and UNIX skills are useful. Basic microbiological methods and working in sterility.

Research area: My research focuses on applying advance bioimaging tools to study cell migration in normal and diseased states. We work to understand the molecular mechanisms that regulate cell-matrix adhesions and in turn regulate cell migration. Cell migration is important for normal processes such as the immune response and also diseases such as cancer metastasis and neurological disorders. In order to study cellular systems we need access to robust, reproducible technologies including optical microscopes. Those microscopes need to be carefully quality controlled and benchmarked to ensure the highest quality image data for scientific discovery and innovation.

Student roles:
Work independently on the microscopes, acquire images, interact with the RBP, synthesize data and present it to the laboratory group. Will have the opportunity to work with other students and staff in the lab, learn about other ongoing projects studying cell migration, particiapte in group meetings and if possible attend one scientific conference during the internship period.

Skills required:
Some experience with optical microscopy would be an asset. Need to read the literature, synthesize information and interpret experimental data. Ability to carefully follow protocols. Ability to follow indepth training programs and work independently on complex optical microscopy platforms. Some experience with quantitative image analysis would be an asset. Ability to take and plot data, build figures and write text to describe trends seen over time, between microscopes and between microscopy modalities (e.g. CLSM vs STED). Ability to work independently and as part of a team.

Research area: I am a fish behavioural ecologist which means I study ecological and evolutionary processes using the lens of behaviour. This project is part of a longer research program that examines how invasive species change ecosystem function and what traits lead to their success. The aim of this research program is to identify factors that will help mitigate the harm caused by invasive species.

Student roles:
The student(s) will sample and characterize the demography of the invasive round goby populations by comprehensive sampling fish using minnow traps along a 500m edge region and then repeat sampling at established populations where round goby have been present for 20 years or more. This will happen along two invasion gradients in Ontario. All fish caught will be sexed, measured and tissues will be collected for later diet, age, foodweb analyses. A sample of the fish caught will also be used for behavioural and physiological
experiments that are part of a larger project. The student intern will help help run fish through swimming tests and dispersal assays and explore how fish sex, fish size and where along the invasion gradient the fish came from influence their behaviour and movement ecology.

Skills required:
If you are interested in ecology, animal behaviour, physiology, or conservation biology, this might be the project for you. Ideally we would like to recruit someone who is comfortable around the water and with being outdoors. Having fish handling and capture skills will be an asset but is not a needed skill. If you have an interest and have had any experience with field work or any previous training in ecology, or water quality assessment, or physiological or behavioural analyses that background will also be super helpful but again is not necessary to already have for the position.

Research area: My research program is centred around understanding plant immune signalling and disease resistance in a changing environment. The overarching vision is to: (1) discover novel regulators of temperature-sensitive immunity; (2) determine if temperature-regulated immunity is conserved in diverse species; and (3) develop innovative technologies to repair the immune system and generate climate-smart plants. We integrate multiple approaches, from molecular biology and genetics to microbiology and biochemistry, to investigate the profound impact of changing temperatures on plant immunity and disease. It is anticipated that fundamental discoveries can be leveraged towards disease prevention and climate resilience programs in Canada and globally.

Student roles:
The student will be involved in experimentation, data collection and data analyses. They will maintain their own tomato plants and initiate Pst DC3000 bacterial cultures for pathogen inoculation assays. They will inoculate plants with pathogen and collect tissue samples along a time course of infection. The student will use these tomato samples for defence gene expression analyses (RNA extraction, cDNA synthesis and qRT-PCR), SA measurements (biosensor luminescence assay) and bacterial growth determination (colony counting).

Skills required:
Required: Background in biology, basic lab experience
Preferred (but not required): Advanced skills in molecular biology, microbiology and plant biology

Research area: Our lab is interested in the cellular and molecular mechanisms that drive cardiac regeneration, particularly focusing on the cell-cell communication within an injured heart. Our goal is to understand how long-distance signals effectively coordinate cardiomyocyte responses during tissue regeneration. By utilizing zebrafish models, we are combining genetics, molecular biology, histology, and advanced live imaging techniques to gain insights into the interactions between different cell types. This research aims to pave the way for innovative strategies to rebuild functional heart tissue.

Student roles:
The intern will primarily be responsible for both experimental work and data analysis.
- Performing wet lab experiments using the Zebrafish model
- Establishing and optimizing ex vivo heart slice cultures under various conditions
- Conducting live imaging experiments
- Analyzing and interpreting cellular dynamics and imaging data

Skills required:
These are university students; I would suggest adapting:
- A strong scientific foundation and solid understanding of biology, genetics, molecular biology, and cell biology.
- A solid understanding of regenerative and developmental biology.
- Interest in or experience with wet lab experiments (e.g., molecular biology, cell culture, or related techniques).
- Candidates should be highly motivated, proactive, and self-driven.
- Comfort with failure and iteration, along with persistence in problem-solving.
- Ability to read and critically interpret scientific literature.
- Previous research experience with zebrafish and/or heart regeneration is advantageous, but not essential.

Research area: Myocardial infarction is a leading cause of death worldwide, resulting in the replacement of damaged myocardium with non-contractile scar tissue and ultimately heart failure. Current treatments delay disease progression but do not restore functional myocardium. Unlike humans, zebrafish can regenerate their heart after injury. Recent studies indicate that specific cell types undergo metabolic rewiring to support this response, yet the mechanisms tuning the levels of metabolic enzymes remain unclear. This project will investigate the role of chaperone-mediated autophagy (CMA), a selective protein degradation pathway, in zebrafish heart regeneration, testing whether CMA modulates metabolic rewiring by targeting key enzymes.

Student roles:
After receiving training in the relevant methods, the student will be able to extract zebrafish hearts and culture them on tissue culture plates. Culture medium will be added for the cells to migrate and proliferate. Then, the student will perform immunostainings with specific cellular markers, and acquire images using standard microscopy approaches.
Beyond experimental work, the student will be integrated into a collaborative and supportive research environment. They will participate in regular lab meetings, where ongoing projects and methodologies are discussed, providing exposure to a broad range of approaches in cardiovascular biology and regeneration.
As the project progresses, the student will be encouraged to develop their scientific communication skills and will have the opportunity to present their work to lab members.

Skills required:
We are seeking a motivated student with a strong interest in molecular and/or cellular biology, regenerative medicine, heart repair. The ideal candidate should be curious and eager to learn, with a foundation in experimental biology. An interest for in vitro techniques is highly desirable, as the project will involve cell culture and related laboratory methods.

Research area: Our research group studies the ecology of top avian predators as indicators of the health of the Arctic. We focus primarily on links between physiology, behaviour, and fitness, particularly in the context of a changing climate. Avian predators integrate information over space and time, and our research uses that information to understand climatic, toxicological, and behavioural changes impacting these species in Northern environments. Our research techniques are also used with an eye towards conservation, with indicators of population-level and species-level health as well as broader, large-scale environmental trends.

Student roles:
Successful candidates will join a multidisciplinary team contributing to the monitoring of seabird populations in the northern Hudson Bay and additional opportunities for monitoring in the Gulf of St. Lawrence. Research will be lead by Tabatha Cormier (Ph.D. student at McGill University) and Dr. Don-Jean Leandri (Research Scientist at Environment and Climate Change Canada). The project is based out of McGill University. Our team is involved in a number of long-term monitoring and conservation initiatives within the region, including movement tracking and ecotoxicological analysis. These monitoring techniques are applied broadly to many seabird species and in 2027, the team will be focused on the following research objectives: i) establishing baseline isotopic signatures of Thick-billed murres (Uria lomvia) during the non-breeding season from feather samples, ii) determining baseline stress levels, and iii) assessing annual movement patterns of murres.

Skills required:
Ideal candidates for this project will have a background in ecology and/or environmental biology. Experience working with or handling animals, particularly birds, is a strong asset, as students must be willing to learn ethical and careful handling techniques and basic seabird identification skills. Some lab work may be required, and candidates should be comfortable following established laboratory protocols. Candidates should be comfortable working in remote field settings with flexible and variable schedules, as tasks and active hours may shift throughout the season. A driver's license is an asset but not required.

Research area: Immunology, Neuroscience, Bioinformatics

Student roles:
The projects range from simple bench work to advance bioinformatics. See what suits you the most. Most importantly be friendly and help others. .

Skills required:
We are looking for students with general science background and knowledge of molecular biology. In addition, we are developing a project detecting animal movements, so if you know Python we can have fun in programming. Most importantly, we are looking for highly motivated, enthusiastic people with excellent academic standings and good team players.

Research area: Neuropeptides and their receptors play a central role in the regulation of most physiological processes in animals. Our laboratory studies the function of neuropeptides and their receptors in insects. To understand the role and importance of distinct neuropeptide systems, we firstly deorphanize and functionally validate the activity of neuropeptidergic ligands on their prospective receptors, which we accomplish using heterologous high-throughput techniques. Once ligand/receptor pairs are validated, we next examine their physiological roles in the organism using various tools that may involve combining reverse genetic approaches with in vivo and/or in vitro bioassays.

Student roles:
The role of the successful applicant will involve either molecular or physiological techniques to validate neuropeptide receptor expression profiles, which will unravel the target organs of the specific neuropeptide. With target organs identified, the trainee will use techniques that are routinely used in the lab to examine the activity of hormones and other neuronal factors on transport of primary ions (e.g. Na+, K+) across regions of the gut, controlling myoactivity, or in regulation of reproductive biology. Relatedly, immunoreactivity of specific neuropeptides and other protein targets may be utilized to examine the association of relevant co-factors in signalling and function. These research experiences will provide the student with solid hands-on training that will be important for a variety of career paths. Based on the dedication and perseverance of the intern along with the amount and quality of the research data collected during the internship, the student could be invited to continue research through another research opportunity including future graduate positions in the lab if interested. The student intern involved in this research may also gain authorship in any resulting manuscript(s) related to their work. More information on previous research publications can be found at: https://paluzzi.lab.yorku.ca

Skills required:
The student should have completed and achieved a grade of at least 75% in a second or third year undergraduate (i) animal (or human) physiology and (ii) molecular biology courses. Prior experience with working in a relevant research lab would be beneficial, but is not a requirement. The successful internship student will be provided with all the necessary training to learn how to carry out the particular experimental techniques required for the finalized research project.

Research area: Disturbance is an important ecological driver that alters the environment and spatio-temporal distribution of ecosystem resources; these in turn influence the composition and diversity of plant communities. The combined influences of increasing anthropogenic disturbance and novel disturbances associated with global change are pushing the structure and function of northern forested ecosystems beyond their historical natural ranges of variability. My research program focuses on understanding the mechanisms underlying changes in patterns and successional trajectories of northern plant (and sometimes soil microbial) communities by examining responses to disturbances that capture a gradient of severities (both anthropogenic and natural).

Student roles:
You will play an active role, primarily in the field, but also in office and likely lab settings. You will spend a large portion of time as part of a 2-4 person crew with PhD and or MSc student supervisor collecting data at forest research sites. The primary research sites will be driving distance from a city/town where you will be based during the time in the field sampling (e.g., Jasper). Expenses covered for intern when remote in the field (housing, food). In the field, you will gain experience in navigating to sites, study design & plot lay-out, vegetation sampling techniques & will learn some plant ID skills. In the lab, you will gain experience in processing of samples, including organizing plant samples and completing plant trait analyses and/or preparing samples. You will also be involved in preparation for field sampling, including organizing supplies and sampling equipment and preparing field datasheets. Intensive field training for field activities will be provided. Time may also be spent by you gathering and reviewing relevant literature related to the research program, entering data collected in the field into spreadsheets (e.g., MS Excel), and potentially doing some preliminary analysis. In addition you will be exposed to other field and literature research that is ongoing in the lab. Overall you will be exposed to diverse experiences in the McIntosh lab, but with an emphasis primarily on field research activities. Note Anne is in Camrose at Augustana Campus (1 hr S from Edmonton) but YOU will be based in Edmonton b/c it is where the graduate students are based and closer to field sites. We will still meet regularly as a lab and Anne will come out to the field at some points during field sampling campaigns. We will know more specifics when MSc project is finalized.

Skills required:
1. Background in botany/ecology/related field. 2. Willingness to work long hours & atypical schedule throughout summer when field work is conducted, including when weather may be sub-optimal (e.g., raining but safe) and you may encounter wildlife (e.g., bears - although very unlikely!) and be ok with annoying insects (e.g., mosquitoes). 3. Previous field work experience (including data collection, GPS navigation, working remote conditions) would be an asset but not required. 4. Training on field sampling (e.g., field research safety orientation) and plant analysis will be provided for you. 5. Attention to detail. 6. Positive attitude and be a team player.

Research area: My research focuses on artificial intelligence, bioinformatics, and computational approaches for precision oncology and biomedical data analysis. I work with genomic, transcriptomic, and tumor microenvironment datasets to develop machine learning models for predicting cancer treatment response and identifying clinically relevant biomarkers. My research integrates statistical modelling, interpretable AI methods, and reproducible computational workflows to support data-driven cancer research and precision medicine applications. I am particularly interested in combining bioinformatics and machine learning approaches to improve the prediction of immunotherapy response and translational cancer research.

Student roles:
The student intern will participate in the development and evaluation of machine learning models for predicting cancer immunotherapy response using genomic and tumor microenvironment biomarker datasets. The student will contribute to multiple stages of the computational research workflow, including data preprocessing, feature engineering, exploratory analysis, predictive modelling, and model evaluation. The student will work with publicly available transcriptomic and cancer genomics datasets to analyze biomarker signatures associated with immunotherapy response. Responsibilities will include implementing baseline machine learning models, conducting comparative computational experiments, evaluating model performance, and generating visualizations to support interpretation of biological and clinical patterns. The student will also assist in developing reproducible computational workflows for cancer biomarker analysis and precision oncology research. Depending on the student’s interests and background, the project may include external validation experiments, interpretable AI methods, or AI-assisted biomarker analysis approaches. Throughout the internship, the student will gain hands-on experience in machine learning, bioinformatics, computational oncology, and biomedical data analysis. The student will additionally contribute to documentation, literature reviews, technical reports, and dissemination of findings through presentations or future publication activities. This internship will provide interdisciplinary research experience at the intersection of artificial intelligence, cancer genomics, and precision medicine while contributing to the development of AI-assisted tools for precision oncology research.

Skills required:
The ideal student should have a background in computer science, bioinformatics, data science, computational biology, or a related field. Experience with programming languages such as Python or R, statistical analysis, and machine learning concepts is preferred. Familiarity with biological data analysis, genomics, transcriptomics, or cancer-related datasets would be considered an asset. Students with experience or interest in artificial intelligence, predictive modelling, or biomedical data science are encouraged to apply. Knowledge of Linux environments, GitHub, data visualization tools, or machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch would also be beneficial.

Research area: Engineering and bioproduction of recombinat proteins, single cell microfluidic technologies (RNA), Biomaterials and organoid culture.

Student roles:
The students participating in this project will: 1. Perform and optimize the conjugation reaction conditions such as molar ratios, temperature and reaction time. 2. Evaluate appropriate linker chemistries for efficient and stable conjugation. 3. Develop and validate analytical protocols, particularly HPLC-based methods. 4. Conduct computational studies such as antibody conjugation docking. This hands-on experience will provide students with valuable skills in bioconjugate chemistry, analytical method development and biochemical analysis.

Skills required:
Educational background: Biotechnology, Chemical engineering, Biomedical Engineering, Molecular Biology and other related domains.
Laboratory skills: Familiarity with basic laboratory techniques such as pipetting, buffer preparation, pH adjustment etc.
Analytical techniques (preferred but not mandatory): High Performance Liquid Chromatography (HPLC) and SDS-PAGE is advantageous.
Data analysis and documentation.

Research area: My research focuses on regenerative biomaterials and peptide-based strategies to improve cardiovascular repair. A central goal is to understand how fibrin, the main structural protein of blood clots, forms on biomaterial surfaces and how its architecture influences endothelialization, inflammation, and vascular graft healing. We combine protein biochemistry, biomaterials engineering, microscopy, image analysis, and pulsatile-flow models to study clot structure under physiologically relevant conditions. This work aims to develop new approaches to improve the healing and long-term performance of small-diameter vascular grafts.

Student roles:
The intern will contribute to a focused experimental project studying how fibrin structure forms on biomaterial surfaces and how this structure can be modulated to improve vascular graft healing. Under supervision, the student will first complete laboratory safety training and review key literature on fibrin, blood-contacting biomaterials, and vascular graft endothelialization.

The student will then assist with preparing experimental materials, running fibrin formation assays, collecting turbidity or microscopy data, and documenting experimental conditions in a laboratory notebook. Depending on experience and project progress, the intern may also help analyze fibrin images using ImageJ/Fiji or related software, quantify structural features such as clot density or fiber organization, and organize results for comparison across experimental conditions.

The intern will meet regularly with the supervisor and research team to discuss progress, troubleshoot experiments, interpret data, and plan next steps. By the end of the internship, the student will prepare a short written report and/or oral presentation summarizing the research question, methods, results, limitations, and future directions. The role is intended to provide hands-on training in translational biomaterials research while generating useful preliminary data for ongoing studies in cardiovascular regenerative medicine.

Skills required:
The ideal student will have a background in biochemistry, biomedical science, biomaterials, bioengineering, chemical engineering, biotechnology, or a related field. Experience with basic wet-lab techniques, protein assays, microscopy, image analysis, or cell/biomaterial experiments would be an asset but is not mandatory. The student should be organized, careful with experimental work, interested in cardiovascular or regenerative medicine research, and comfortable reading scientific literature. Basic data analysis skills using Excel, GraphPad Prism, ImageJ/Fiji, or similar tools would be helpful.

Research area: We are using molecular and cellular biology techniques to better understand the biology of muscle stem cells and to identify mis-regulations taking place in muscle-related diseases such as muscular dystrophy and rhabdomyosarcoma.

Student roles:
The student will directly be involved in the project. He/she will perform the experiments, the analysis and results interpretation. He/she will be paired with a senior student in the lab. At the end of the internship, the student will present the project results to the team.

Skills required:
The most important skill is your motivation! If you know the principle of the different techniques listed above, it will be easier for you. We are looking for interns who are curious, interested, with a will to learn and to do teamwork.

Research area: In my research group we combine population genomics, classical genetics, biochemistry, physiology, molecular biology, phylogenetics, neurobiology and behavior. The interdisciplinarity is achieved thanks to wide range of collaborations as well as our willingness and courage to explore unknown. We work on wide variety of organisms from birds to plants, with main model species of canary birds. Other than genotype phenotype association we are also interested in understanding how gene function and expression evolve across species as well as how is it impacted by organismal biology, physiology and environment.

Student roles:
Candidates depending on their experience and interest will be able to develop the bioinformatics skills, by managing the sequencing data, analysis of the sequencing data and performing parental analysis. Additionally there will be opportunity to learn practical skills in molecular biology lab, such as extracting DNA, preparing sequencing libraries, qPCR. For interested candidates potential to mix both, so the bioinformatics combined with the wet lab. Each intern will work on their own small project, that later will be implemented in the larger work. Each student will be expected to write a report based on their projects as well as present it at the group meeting.

Skills required:
Candidates for the internship should be interested in evolutionary biology. Basics of scripting/basic programming will be beneficial but not required. Previous wet lab experience for a candidate in more laboratory experience will be beneficial. General understanding of evolutionary biology, genetics and genomics or computer science will be helpful in order to work in an interdisciplinary team with background in biology and computer science. Students should be willing to work collaboratively as a part of the team, with professionalism, attention to details and eager to learn.

Research area: In my research group we combine population genomics, classical genetics, biochemistry, physiology, molecular biology, phylogenetics, neurobiology and behavior. The interdisciplinarity is achieved thanks to wide range of collaborations as well as our willingness and courage to explore unknown. We work on wide variety of organisms from birds to plants, with main model species of canary birds. Other than genotype phenotype association we are also interested in understanding how gene function and expression evolve across species as well as how is it impacted by organismal biology, physiology and environment.

Student roles:
Candidates depending on their experience and interest will be able to develop the bioinformatics skills, by managing the sequencing data, analysis of the sequencing data. Additionally there will be opportunity to learn practical skills in molecular biology lab, such as extracting DNA, preparing sequencing libraries, qPCR. For interested candidates potential to mix both, so the bioinformatics combined with the wet lab. Each intern will work on their own small project, that later will be implemented in the larger work. Each student will be expected to write a report based on their projects as well as present it at the group meeting.

Skills required:
Candidates for the internship should be interested in evolutionary biology. Basics of scripting/basic programming will be beneficial but not required. Previous wet lab experience for a candidate in more laboratory experience will be beneficial. General understanding of evolutionary biology, genetics and genomics or computer science will be helpful in order to work in an interdisciplinary team with background in biology and computer science. Students should be willing to work collaboratively as a part of the team, with professionalism, attention to details and eager to learn.

Research area: Je suis une écologiste des communautés végétales, avec des champs d’intérêts portant sur la biogéochimie, les perturbations et la succession, ainsi que sur les rétroactions entre les plantes et le sol et entre les plantes et leur microbiote, la fixation de l’azote et les traits fonctionnels. Les recherches dans mon laboratoire portent sur l'écologie des bryophytes et des plantes de sous-bois dans la forêt boréale, de sa limite sud avec la forêt tempérée jusqu'à sa limite nord. Nous utilisons aussi le bryomonitoring afin de cartographier le dépôt atmosphérique de polluants dans la province à l’aide des mousses.

Student roles:
Sous la supervision de la professeure Jean, l’étudiant sera responsable de mener à bien le projet de recherche. Après avoir complété toutes les formations nécessaires pour effectuer le travail de manière sécuritaire, l’étudiant participera à l’identification de sites de récolte forestière appropriés, à l’évaluation sur le terrain de l’abondance des différents substrats et la présence d’espèces exotiques, et à la cueillette des différents substrats (sol et mousses) pour les placer en pot. Puis, il sera responsable d’installer l’expérience de germination en laboratoire, incluant des tests de germination dans des plats de pétri pour évaluer la viabilité des graines des différentes espèces, et des tests en pot sur les différents substrats. L’étudiant aura la charge de maintenir cette expérience pendant quelques semaines en allant arroser et déplacer les pots et les pétris à chaque jour, tout en récoltant les données sur les taux de germination. La gestion des données sera effectuée par l’étudiant. À travers ces tâches, l’étudiant effectuera une courte revue de littérature afin de rédiger un rapport présentant ses résultats à la fin du stage. De plus, l’étudiant apprendra à utiliser des statistiques pour interpréter les résultats obtenus. Il est possible que l’étudiant soit amené à aider l’échantillonnage sur le terrain par des étudiants gradués dans le groupe de recherche, ce qui offrira des opportunités d’apprentissage et de développement professionnel supplémentaires. L’étudiant devra aussi participer activement aux rencontres hebdomadaires de laboratoire (club de lecture, mises à jour sur différents projets, ateliers sur différents sujets, etc.).

Skills required:
Bien que la majeure partie des connaissances soit acquise à travers le stage, une connaissance de base et un intérêt pour la biologie, écologie et botanique est préférable (études en biologie, botanique ou environnement). L’étudiant doit être prêt à effectuer des travaux en milieu extérieur sous des conditions météorologiques variables. Ce projet nécessite aussi une personne responsable, autonome, organisée et méticuleuse, puisque la personne aura la charge de maintenir les expériences de germination en laboratoire et de faire la collecte et la gestion des données. Une compréhension de base de design expérimental et d’analyses statistiques est souhaitable, mais pas nécessaire.

Research area: - Reconstruction of Holocene fire regimes using wood charcoal - Reconstructing vegetation dynamics through pollen grain analysis - Analysis of lake sediments and identification of charcoal and fossil pollen grains to reconstruct the history of forest fires during the Holocene. - Study of natural disturbances affecting boreal forest ecosystems using palaeoecological approaches.

Student roles:
The student will assist postgraduate students and research professionals with data analysis and management. Depending on their level of independence and initiative, they may be entrusted with responsibility for part of the field sampling. The student will also be involved in data entry and laboratory analyses. Given that there are several ongoing projects in the same region, the student may occasionally assist other teams in the field, which will help to broaden their training. They will also have access to the FERLD station’s facilities, including the dendrochronology and palaeoecology laboratories. Before the fieldwork begins, students must complete a free training course on forest safety and survival, provided by the university. All daily trips will be supervised and monitored by the university’s security staff and the project supervisor.

Skills required:
- Education or experience in forest ecology, palaeoecology or plant biology. - Basic computer literacy. Skills in mapping (GIS) would be an advantage. A keen interest in working in forestry and laboratory environments is essential, as are good team spirit and the ability to work independently. - Holding a valid driving licence and being at least 21 years old are additional advantages.

Research area: I am an environmental biogeochemist specializing in paleolimnology — the study of past environmental changes recorded in lake sediments. My research investigates how climate change, land-use transformation, and pollution shape the cycling and transport of elements between northern lakes and their surrounding landscapes. A central theme is understanding how boreal forest disturbances — including wildfires, insect outbreaks, and human activities — alter vegetation cover and hydrological pathways, and consequently influence organic matter and carbon cycling in these systems. This work sheds light on how northern ecosystems have responded to past changes and what this means for their future.

Student roles:
During the internship, the student will support graduate students in both field and laboratory work while undertaking a small independent research project aligned with ongoing studies in the research group.

Responsibilities and Learning Opportunities:
- Participation in fieldwork activities, including sediment core collection from boreal lakes
- Hands-on training in geochemical, spectroscopic, and paleoecological methods
- Preparation and analysis of samples for the independent project
- Conducting literature reviews relevant to the project
- Writing a brief report summarizing project findings
- Attending and contributing to regular team meetings
- Developing communication skills through project presentations
- Completing required safety and training courses prior to field and lab work

Additional Information:
The student will have the opportunity to stay at the research station at the Lake Duparquet Research and Teaching Forest — a unique setting that offers direct immersion in the boreal forest environment central to this research.

Skills required:
Applicants should be enrolled in an undergraduate program in Earth Sciences, Environmental Sciences, Biology, or a related field. A strong interest in paleoenvironmental reconstruction, aquatic ecosystems, and biogeochemistry is essential. Some lab and fieldwork experience is an asset, though a demonstrated enthusiasm for both is equally valued. The ideal candidate is motivated, curious, and passionate about understanding environmental change. Strong ability to work both independently and collaboratively is required, as is proficiency in written and spoken English.

Research area: Smart forests and new technologies in the field. Global changes. Timings and dynamics of tree growth. Tree phenology. Adaptations to local climates, assisted migration of species. Maple syrup production.

Student roles:
Student will be asked to (1) extract data from remote sensing images; (2) define leaf phenology or forest health, and (3) combine the variables using statistical modelling.
Given the innovative nature of the work, all tasks will be performed by working with the supervisor and some expert lab members.

Skills required:
Expertise in geomatics and remote sensing, and related software. The task is challenging because it needs imagination and efficiency.
The candidate will have the chance to attend field activities to visit our sample sites on the fascinating forest ecosystem of Canada

Research area: The focus of the Uhrig lab is understanding how plants undertake different cellular processes throughout the day and respond to their environment from a time-of-day perspective. The lab is a collection of molecular-biochemical, functional genomic-systems and computational biologists studying the plant cell signaling mechanisms that control time-of-day cell processes with the ultimate goal of producing climate resilient crops.

Student roles:
This project represents an independent role within the Uhrig lab research environment, offering a tangible opportunity for research ownership and broader contribution to the publication of lab research. With the goal of the project being to characterize identified candidate growth and resiliency proteins, the student’s results will feed into the broader research program already underway in order to determine mechanism(s) of action. Correspondingly, any results generated by the student will be appropriately credited to them.
The successful applicant can expect to work as an independent researcher within a supportive and hardworking team. As is the case with all Uhrig lab trainees, the student will be is expected to give a series of lab meeting presentations and a short presentation at the end of the project to describe progress made and key results found. The student will also be expected to actively participate in all lab meetings.

Skills required:
The ideal candidate will have a background in any of the following areas: plant biology, plant stress biology, cell and molecular biology / biochemistry. Experience with plant handling and common molecular biology techniques would be an asset, though lab specific techniques will be taught. The project will also involve cloning of expression vectors for either plant or recombinant bacterial expression, affinity purification mass spectrometry, and western blotting, so experience with any of these techniques would also bean asset.

Research area: My research program is centred around understanding plant immune signalling and disease resistance in a changing environment. The overarching vision is to: (1) discover novel regulators of temperature-sensitive immunity; (2) determine if temperature-regulated immunity is conserved in diverse species; and (3) develop innovative technologies to repair the immune system and generate climate-smart plants. We integrate multiple approaches, from molecular biology and genetics to microbiology and biochemistry, to investigate the profound impact of changing temperatures on plant immunity and disease. It is anticipated that fundamental discoveries can be leveraged towards disease prevention and climate resilience programs in Canada and globally.

Student roles:
The student will be involved in experimentation, data collection and data analyses. They will grow their own Arabidopsis plants and maintain Pst DC3000 bacterial cultures for SA protection assays. They will infiltrate plants with salicylic acid, inoculate them with pathogen and collect local and systemic samples. Tissue samples will be used for bacterial growth measurements by determining colony concentrations per sample. Experiments will be repeated for reproducibility.

Skills required:
Required: Background in biology, basic lab experience
Preferred (but not required): Advanced skills in molecular biology, microbiology and plant biology

Research area: My lab's research addresses the broad question: how and why does brain anatomy vary across and within species? To answer this broad question, we have worked on a variety of different vertebrate species, but most of our research focuses on birds. Our lab hosts the world's largest bird brain collection and we have a global network of collaborators.

Student roles:
The successful applicant will learn how to process a brain from dissection through histology and image analysis by the completion of the internship. Students will be involved in dissections, preparation of fixatives and other solutions, staining brain sections and analyzing the tissue with the aid of a high resolution slide scanner and/or an upright microscope equipped with specialized software. For students more interested in microCT scanning, the successful applicant will learn how to segment, reconstruct, and measure scanned specimens with specialized software as well as gain experience with dissections and most aspects of histology. All lab work is done alongside other students so that everyone can assist one another throughout training. The student will also be invited to participate in weekly lab meetings to discuss scientific papers and progress on the variety of research projects being undertaken as well as our annual lab trip to a national park, museum or zoo to learn more about the animals that we study and the life and culture of Indigenous peoples.

Skills required:
The successful applicant should be undertaking a degree in biology, veterinary medicine, paleontology, or medicine and have some basic wet lab skills, such as using pipettes and electronic balances. Experience in dissections or histology is desirable, but not necessary. Note that it is unlikely that the research will involved fieldwork or animal handling.

Research area: Metastatic prostate cancer is lethal despite many available therapeutic options including genomic biomarker guided treatments. Recognising that tumours are complex ecosystems, my research program seeks to understand the interplay between the genetic dependencies of incurable human prostate tumours and the immune system. By integrating genomic profiling and spatial imaging, my team investigates how aggressive human prostate tumors evade immune detection. Our goal is to identify genetic and immune biomarkers that predict patient outcomes and responses to immunotherapy in metastatic prostate cancer.

Student roles:
As a research student at the BC Cancer- Victoria’s Trev & Joyce Deeley Research Centre, you will play an integral role in advancing spatial biology research. Upon joining the lab, you will complete mandatory onboarding training in laboratory safety, research ethics, and occupational health protocols. Your primary responsibility will be the computational analysis of paired hematoxylin and eosin (H&E) and multiplex immunofluorescence (mIF) imaging datasets generated from bone metastasis specimens. You will assist in the quality control (mainly QuPath based), data organisation and implementation of analysis workflows using R and Python based tools (SPIAT, PathML) and machine learning frameworks (GigaTime).

Wet lab responsibilities are not required; your contributions will be exclusively computational. You will report your findings in regular one-on-one meetings with your supervisor and present updates at team meetings. Your work may contribute to lab publications, and your contributions will be acknowledged in authorship.

Participation in scientific activities is expected, including joining departmental journal clubs, and engaging in lab meetings. At the conclusion of your term, you will deliver a final presentation of research findings to the researchers at the Deeley Research Centre’s weekly group meeting. This role is an excellent opportunity to gain experience in spatial biology, data interpretation, and scientific communication in a highly collaborative research environment.

Skills required:
Please describe the required skills/background of the student (100 words):
Motivated to work within a multidisciplinary team of researchers and collaborators with backgrounds in immunology, genome science, clinical oncology and urology.
A background in bioinformatics (proficiency in Python, R, bash), computational biology or related fields

Research area: Wang research group works on several areas of mathematical biology as diverse as modeling stoichiometry-based ecological interactions, microbiology, spatial ecology, infectious diseases, habitat destruction and biodiversity, risk assessment of oil sands pollution. Mathematical models include ODE, DDE, PDE, SDE, IDE.

Student roles:
Developing or modifying mathematical models; numerical simulations; simple math analysis; writing a report

Skills required:
Mathematical modeling; numerical simulations; mathematical analysis; English report writing

Research area: One of the Bhavsar laboratory’s specialized area of research is in bacterial pathogenesis. We strive to understand the mechanistic details underlying interactions of bacterial effector proteins and host factors. We are particularly interested in the Novel E3 ubiquitin ligase (NEL) effector proteins. Using a variety of model systems including cell culture, yeast and plants, we aim to discover new host-pathogen interactions and leverage these insights to target bacterial pathogenicity and explore anti-infective strategies. The goal of the research program is to understand the different strategies bacterial pathogens employ in a range of hosts that potentially spans kingdoms.

Student roles:
Non-laboratory roles: The student will be required to read relevant background literature and experimental protocols. A written report of the research project will be expected at the end of the 12-week period that will remain with the principal investigator. In addition, the student will be responsible for recording any new protocols developed in the course of their project. The student will be required to create a LinkedIn/Researchgate profile that includes the laboratory in their network.

Laboratory roles: The student will work in the lab under partial supervision of a senior graduate student or the principal investigator. Depending on their background, the student will be expected to conduct experiments related to tissue culture, yeast transformation and growth or plant agro-infiltration. In addition to performing experiments, after appropriate training, the student will be expected to perform data analysis to be presented to their supervisor and/or at lab meetings. The student will also be assigned routine lab “jobs”, particularly those pertaining to the equipment/resources used in their project.

Skills required:
The student should have a background in biological sciences and be familiar with microbiology, molecular biology and biochemical concepts. Experience with tissue culture, yeast, and/or plant molecular methods would be an asset. The student must be an effective communicator and well-organized. The student should be comfortable with, and have the ability to, work largely independently after initial training. A high degree of critical thinking skills is expected.

Research area: Synthetic ecosystems aim to provide specific services: The concept includes food waste digester, phytoplankton, zooplankton cultures, and larger consumers (crayfish, prawns). Related to aquaponics, the project employs and manages biodiversity within separate modules to make food. Such management is a new research frontier. This interdisciplinary project integrates the ideas and technologies from vertical agriculture, aquaponics, and ecological engineering to supplement food production in cities. Specific knowledge required for its success includes population dynamics, species interactions, nutrient cycles, ecological energetics, and tools for monitoring the state of the system (sensors, monitoring, analysis).

Student roles:
The student(s) will take responsibility and a substantial role in: - one of the crucial aspects of the
experimental work (this will be assigned in response to student interests and ability - in problem-solving,
testing new ideas for improving operations and maintenance of biodiversity constituents of the synthetic
ecosystem. This is a research project that input from all personnel engaged is desirable and important
assisting with the routine operation of experimental systems - tracking and reviewing most recent
developments (monitoring professional meetings, news releases, and literature) and submitting a final
report on what is the cutting-edge state in developing integrated and compact food production systems, or
what are the main obstacles to success. The students will also participate in group meetings and be given
a full voice. We will further encourage students to suggest their own ideas for the project improvement
make it possible for them to present these ideas more formally in a devoted session.

Skills required:
Desirable: some courses (or passionate interests) in one or several of Agriculture (especially vertical),
Ecology, Limnology, Aquatic Biology, environmental engineering; familiarity with Excel, basic chemistry,
system modeling

Research area: My research integrates aquatic ecology and quantitative ecology, with a focus on understanding and predicting the cumulative effects of human activities on freshwater ecosystems. I use quantitative approaches to explore ecological patterns and processes across multiple spatial scales, from local to continental, and across a range of organisms, from microbes to fish. I am committed to advancing data-driven, policy-relevant science to inform sustainable freshwater resource management.

Student roles:
The student will play an integral role in this project, contributing to key aspects of data preparation, analysis, and interpretation. They will compile and prepare data from multiple sources, including lake survey datasets and land use/land cover information, and conduct a literature review to inform the project’s conceptual framework and support interpretation of results.

A major component of the role will involve learning and applying quantitative methods to examine how lake ecosystems respond to environmental variability through time. The student will use R for data analysis and gain valuable experience working with large ecological datasets.

As a supervisor, I am committed to providing a supportive and collaborative learning environment. I will offer regular one-on-one mentorship, guiding the student through all stages of the project from data compilation and analysis to interpretation and scientific writing. The student will also have opportunities to engage with my broader research network and contribute to publications resulting from the project.

Skills required:
The ideal student should have a background in ecology, environmental science, biology, statistics or a related field, with an interest in aquatic ecosystems and quantitative modeling. Strong analytical skills and experience with statistical analysis (preferably in R) are desirable. Familiarity with GIS and spatial data analysis is an asset but not required. The student should be comfortable working with large datasets and have strong written and verbal communication skills. Curiosity, initiative, and the ability to work both independently and collaboratively are essential for success in this project.

Research area: This research focuses on the impacts of the X-Oceans Outreach mobile program on enhancing ocean literacy in underserved rural communities of Nova Scotia. The program promotes ocean stewardship by providing ocean education to youth (ages 6-18), through Science, Technology, Engineering and Mathematics (STEM). Ocean-based hands-on activities give youth the opportunity to explore the importance of marine biodiversity and ocean-related careers, with focus on preservation and climate change mitigation. Outreach workshops include touch-tanks housing live marine organisms (e.g., sea cucumbers, sea anemones, sea stars, crabs, etc.) and active learning tools (e.g., ocean-centered STEM activities and experiments) to enhance experiential learning.

Student roles:
Student duties and responsibilities will consist of:
• Collecting, organizing and analyzing quantitative and qualitative outreach data
• Analyzing survey responses
• Transcribing information
• Report writing
• Revising and improving ocean education content for youth
• Helping with on-campus and off-campus outreach activities
• Debriefing with supervisor and team members

Skills required:
Required skills include:
• Excellent organization skills
• Excellent time management and punctuality
• Excellent adaptability skills
• Strong work ethic, hardworking
• Knowledge in STEM, ocean related sciences and marine biodiversity
• Detail oriented
• Ability to work independently and in a team
• Excellent communication and writing skills
• Computer skills (Word, Excel, PowerPoint, etc.)
• Positive attitude, reliable and dependable
• French language is an asset
• This position requires working with youth; therefore, a Child Abuse Registry check and a Vulnerable Sector Check is mandatory.

Research area: We study a variety of forms of neuroplasticity, including synaptic plasticity, metaplasticity, and neurogenesis, to better understand both the intrinsic processing capacities of the brain, how it responds to injury, and it’s capacity for self-repair. Trainees in the laboratory have the ability to work with animal models that include those for acquired brain injuryto better understand how learning and memory processes are impacted, and examine different interventions for their therapeutic potential. Our laboratory places a strong emphasis on trainee development, and supports equity and diversity initiatives both in the lab and in trainee activities outside of the lab.

Student roles:
The student will assist either a post-doctoral fellow or a graduate student by conducting an independent project during their time in the laboratory. Students should be self-motivated and will be provided with instruction and the support needed to complete the project.

Skills required:
Basic biochemistry/biology/histology skills are preferred. Individuals with microscopy, biochemistry, or immunohistochemistry experience are encouraged to apply.

Research area: The area is multidisciplinary between philosophy, neuroscience and robotics with various aspects of computer science and engineering.

Student roles:
Extensive reading and analysis of text is required. Writing and communication skills must be top. Quantitative skills are a must but must be able to speak to people who don't have them in lay person language. Anility to work in a multidisciplinary diverse and international team.

Skills required:
Interested students need to be interested in Automata Theory, Deep learning theory, computational models and embodied robotic cognition/emotion. Students must have a tolerance to uncharted territory, risk and uncertain outcomes.

Research area: Our lab is interested in the molecular mechanisms of cell division. When a cell divides, it should do so equally, with 'daughter' cells receiving equal amounts of chromosomes from the original 'mother' cell. If this does not happen, the resulting daughter cells will have unequal number of chromosomes, which is detrimental to the health of daughter cells and can cause developmental defects and cancer. Our lab studies how signalling mechanisms in dividing cells ensure that chromosomes are equally segregated into daughter cells, with an emphasis on the role of specialized subcellular structures such as the mitotic spindle and centrosomes.

Student roles:
Overall, the student will be implicated in all stages of the experimental process. For this project, the student will be mainly involved in aims 1 and 2 listed above, and depending on interest/time, may also assist in the transcriptome analysis for aim 3. The student will be directly supervised by a senior graduate student/post-doc and the lab head in the beginning, but as the project progresses, the student will take a more independent role in driving the project, including but not limited to experimental design and data analysis. In terms of techniques, the student will be trained and will eventually independently design and perform immunocytochemistry (immunofluorescence) experiments as well as live-tracking of cells undergoing cell division. The recruited student will acquire in-depth experience of spinning-disc confocal microscopy, image analysis (using image J/FIJI ) and quantitative cell biology. As the student becomes more experienced, there will be more autonomy and opportunity to explore alternative approaches and hypotheses. In addition, the student will be involved in the analysis of the data directly with the main supervisor, and will be involved in the presentation of the final dataset in a scientifically acceptable form (e.g. graph, figure panel etc.). There will also be opportunities for presentation of the results of the project in a poster or short talk format at a local symposium, which is encouraged.

Skills required:
- Good communication skills.
- Enthusiasm, ambition, and interest in the project.
- Willingness to work in a team-environment.
- Previous laboratory experience is an asset but not necessary.

Research area: Our laboratory studies the impact of aging, stress, or metabolism on human health. These factors contribute to the onset and progression of some of the most debilitating diseases. This includes many forms of neurodegeneration. Neurodegeneration is often characterized by the formation of toxic protein aggregates. Little is known about the biogenesis of such aggregates. Our group investigates these questions with modern methods in physiology, cell biology and biochemistry. We have special expertise in state-of-the-art imaging, high throughput screening and other cutting-edge technologies. The current project is a new and exciting approach to examine the formation of toxic cellular aggregates.

Student roles:
The student will be involved in all aspects of the project. Together with the supervisor and other members of our group, the candidate will plan and optimize the research strategy, conduct experiments and trouble-shoot, if necessary. The student will actively participate in the interpretation of results and will keep appropriate records of all experiments. The candidate will discuss her/his data at lab meetings and present results at local scientific conferences. The student will work closely with other lab members and collaborators. The candidate will have the opportunity to attend scientific seminars and research meetings.

The student will perform and participate in the following activities:
(1) Measure nuclear transport and the production of toxic aggregates in cultured cells.
(2) Use pharmacological drugs to prevent or reverse the formation of toxic aggregates.
(3) Measure how pharmacological drugs change the survival of aggregate forming cells.
(4) Participate in the data analysis and interpretation.
(5) Based on the candidate’s results, he/she will contribute to the writing of a scientific paper.

Throughout the project, the student will acquire new scientific methods and use state-of-the-art instrumentation. This includes, but is not limited to, advanced high resolution microscopy, quantitative imaging, metabolomics and other modern methods in cell biology, biochemistry and physiology.

Skills required:
The ideal candidate will have a good theoretical background in cell biology, physiology or related fields. Enthusiasm, scientific curiosity and the ability to work in an international team are essential. To this end, the student can communicate in English, both orally and in writing. Previous research experience at the bench is an asset, but not mandatory.

Research area: Dr. Nguyen-Quang's research centers on advancing Aquatic Science as a cornerstone for sustainable environmental solutions, particularly in the face of climate change and anthropogenic pressures on coastal and freshwater ecosystems. Through an interdisciplinary lens, he investigates the complex interactions between coastal hydrodynamics, surface water quality, and ecology, including cyanobacteria in eutrophic systems. His work integrates computational biosystems modeling, biophysical process analysis, and mathematical frameworks to decode natural patterns and assess biomass dynamics. To address these challenges, he uses state-of-the-art approaches such as remote sensing, hydrodynamic simulations, and AI-machine learning, bridging data-driven insights with actionable strategies for environmental management.

Student roles:
The required work during 12 consecutive weeks will be concentrated on:

• Data collection for validation of mathematical model and programming (the core task),
• Integration of weather data and the exploitation all related information for predicting purposes.
• Participation in the design of the user interface (with a focus on logged data viewer and implementation of decision support components)
• The follow-up tasks will be carried out in parallel with necessary redesigns/adjustments of the subsystems defined above, in close collaboration with other trainees in the project
• Interpretation of results
• Report writing

Benefits
Student will benefit from working in BBML with Dr.Tri Nguyen-Quang in a various manners:
• Experience in applying technical procedures and practices;
• Exposure to the management, prediction and monitoring of eutrophic lakes and rivers for water uses, especially for drinking water resources;
• Develop and enhance interpersonal skills needed to succeed in a professional career;
• With four graduate students (3 PhD and 1 Master) and one research assistant currently working in BBML, the successful candidates will be integrated in a High quality of academic research team within an internationally enthusiastic and friendly atmosphere.
• The project, if well done, will be subject to a Master or PhD research level in the future depending on the funding opportunities.

Skills required:
It is expected that the candidates with a strong background in Mathematics and Programming from Environmental, Biological and Ecological concepts are targeted.

Moreover, they are expected to be strong in oriented tools like MATLAB/Mathematica or Python, and in programming languages suc as C++ or Fortran.
The successful candidates must be a motivated person who work well in a team environment. Students must exhibit excellent written and oral communication skills (either in French or in English).

Research area: The Weiss lab develops imaging-based approaches for a wide variety of biomedical applications. This includes new types of rapid-scanning microscopes for cancer diagnosis, ultrasensitive bacteria-characterization devices, and signal-analysis tools to make sense of multidimensional and noisy datasets. Our multidisciplinary team comes from a variety of areas including biomedical engineering, chemistry, materials science, physics, and more. Together with collaborators, we are deploying our knowledge of optics, quantitative analysis, biophysics, and chemistry to engineer solutions to challenging problems.

Student roles:
The specific objectives of this project are to develop and incorporate a fluorescent nanofilm into a microfluidic device for biosensing applications. You will lead an aspect of this project by performing a literature review to identify possible solutions. You will then summarize the previous work done in the area and propose possible solutions. You will then implement one or more of your ideas and begin a validation study based on synthetic samples. This will involve developing a quantitative analysis pipeline for recording and assessing data to test the robustness, sensitivity, and other key parameters. Finally, you will propose improvements to the design and identify potential further applications.
At all stages of the project, you will participate in the team meetings with group members, and meet regularly with Professor Weiss as well as collaborators. For these meetings, you will summarize your results in brief presentations and discuss possible directions for your research. Throughout the program, there will be various opportunities to attend professional research events and present your research, for example as a poster.

Skills required:
To succeed in this project, you must have experience with optical systems. This could be theoretical background, hands-on experience, or both.
Experience with signal processing and image analysis will be necessary to process data quantitatively.
At least some knowledge or experience in one of the following programming languages will be needed: Python, Matlab, Java, C++.

Research area: Genetic and functional studies have revealed key roles for microglia, the brain’s innate immune cells, in the development of various neurodegenerative diseases. The overarching goal of my research program as Canada Research Chair in Biomedical Genetics is to push forward our understanding of microglial contributions to the development and progression of neurodegeneration. This will be achieved by leveraging gene editing techniques and human induced pluripotent stem cell (iPSC) models to examine the molecular and cellular effects of disease-causing mutations.

Student roles:
The overall project will involve: 1) maintenance and growth of induced pluripotent stem cells (iPSCs), 2) differentiation of iPSCs into microglia, and 3) functional characterization of iPSC-derived microglia. The primary required role of the student will be the functional characterization of control and RAB32 mutant iPSC-derived microglia.

Functional characterization of iPSC-microglia will involve the use of immunostaining and imaging techniques, as well as flow cytometry, enzyme-linked immunosorbent assay (ELISA) and western blotting to assess the effects of RAB32 mutations on microglial morphology, motility, phagocytic capacity and inflammatory responses. The student will work alongside Dr. Penney and/or lab members to learn the necessary techniques and procedures to carry out the planned experiments. The student will also be guided in the design of scientific experiments, data collection and analysis, and will have the opportunity to discuss and present their experiments and findings.

The student will further gain training and experience in iPSC culture and differentiation techniques; however, these procedures are both time-consuming and advanced for someone without prior experience. As such, full time members of the laboratory will have microglia cultures prepared for the prospective student to use during the early stages of the project. This will allow the student to begin functional characterization experiments at the outset of the internship while learning iPSC culture and differentiation techniques in parallel.

Skills required:
The student should have prior experience with sterile technique and some form of cell culture. Experience in induced pluripotent stem cell (iPSC) culture would be an asset but is not necessary. Some form of prior laboratory-based research experience is also preferred. In addition, background knowledge and understanding in areas including neuroscience, genetics, cell biology, and/or molecular biology would also be assets but not essential.

Research area: Cancer is a leading cause of death worldwide. To improve the life expectancy of patients, our laboratory uses multiomics approaches to uncover new therapeutic targets against solid tumours such as breast and melanoma. We have a particular focus on how metabolic adaptations support the development of resistance and how we can harness these changes to improve therapy response. We use several cutting-edge approaches to dissect oncometabolism in this optics, including extracellular flux analysis (Seahorse platform), high-content imaging, bioinformatics, transcriptomics, metabolomics, as well as diverse cellular and molecular biology techniques.

Student roles:
The student’s role in this project would be to actively participate in the experimental and analytical components under the supervision of the research team. Typical responsibilities would include:
• Cell culture work, including maintenance of tumour cell lines and participation in coculture models with immune cells
• Execution of pharmacological experiments, testing metabolic inhibitors targeting pathways such as glycolysis or oxidative phosphorylation
• Assessment of tumour and immune responses, using assays such as cell viability tests and quantification of secreted immunomodulatory molecules (e.g. cytokines, chemokines) by ELISA
• Application of molecular and cellular biology techniques, including qPCR, western blotting, and basic functional assays
• Data collection, analysis, and interpretation, with guidance from supervisors
• Reading and discussing scientific literature relevant to tumour metabolism, immunology, and immunotherapy
• Documentation and presentation of results, potentially contributing to reports, presentations, or posters
Overall, the student would gain hands-on research experience, develop technical and analytical skills, and contribute meaningfully to understanding metabolic interactions between tumour and immune cells in the context of immunotherapy.

Skills required:
Relevant skills and experience
• Experience (or practical coursework) in cell culture
• Familiarity with techniques such as ELISA, qPCR, western blotting, and cell viability assays
• Interest in tumour–immune system interactions
• Scientific rigor, critical thinking, and ability to work effectively in a laboratory setting
• Comfort reading and understanding scientific literature in English
Overall profile
This project is particularly well suited for a student who is:
• motivated by translational or fundamental research,
• considering pursuing graduate studies (Master’s or PhD),
• seeking to acquire strong experience in cellular, molecular, and immunological biology applied to cancer.

Research area: My expertise is Bioinformatics and Machine Learning. My current research focuses on multi-omics analysis which provides novel information on the mechanisms of the biological process and cell states in disease development. We develop computational tools for complex and high-dimensional data including genome-wide population data, RNA-seq, and tandem mass spectra. I'm particularly interested in applying deep learning and AI to plants to advance digital agriculture.

Student roles:
1. Implement and evaluate the novel RNA-seq analysis pipeline incorporating T2T genome annotations for improved transposable element resolution
2. Simulate RNA-seq reads to generate ground truth datasets for benchmarking and validating pipeline performance
3. Integrate and apply the deep learning model designed to assign multi-mapping reads to specific TE loci based on flanking sequence context
4. Compare pipeline performance against existing TE analysis tools using standardized metrics of accuracy and resolution
5. Address challenges associated with repetitive sequence mapping, TE polymorphisms, and incomplete annotations in the hg38 reference genome
6. Optimize pipeline parameters and workflows to improve sensitivity and specificity of loci-specific TE expression quantification
7. Document findings through regular progress reports and lab meetings, and contribute to manuscript and figure preparation
8. Collaborate with supervisors and team members to refine the pipeline and integrate results within the broader context of TE biology and genomic medicine

Skills required:
1. Strong foundation in molecular biology and genomics, including an understanding of DNA/RNA biology, transcription, and mobile genetic elements
2. Proficiency in bioinformatics and RNA-seq data analysis, including familiarity with alignment tools, transcriptomic pipelines, and expression quantification methods
3. Computational skills including command-line (Linux/bash) and scripting experience in Python or R for pipeline development, data processing, and visualization
4. Familiarity with machine learning or deep learning concepts, with an interest in applying these methods to genomic data analysis
5. Experience or strong interest in working with large genomic datasets, reference genomes, and high-performance computing environments

Research area: Our lab studies the genetic and molecular mechanisms that regulate vascular development and function, with a particular focus on how disruptions in these processes lead to human vascular diseases. Using complementary zebrafish and mouse genetic models, we identify and manipulate key genes and signalling pathways involved in blood/lymphatic vessel formation. This work aims to define the origins and progression of vascular disorders and to inform the development of targeted therapeutic strategies, with a particular interest in brain vascular biology.

Student roles:
The student will contribute to ongoing research projects by assisting in the investigation of gene function during vascular development. This will include performing molecular biology experiments such as genotyping, basic cloning, and supporting CRISPR-Cas9–based genome editing workflows. The student will also participate in zebrafish husbandry, embryo collection, microinjection, and phenotypic analysis using microscopy.
In addition, the student will work with cell culture systems to support functional assays and help analyse experimental outcomes. The role involves maintaining accurate laboratory records, organizing data, and contributing to data interpretation and presentation. The student is expected to actively engage in lab meetings, collaborate with other lab members, and progressively take ownership of aspects of the project as their skills develop.

Skills required:
The student should have a background in biology, biochemistry, or a related life sciences field, with an interest in genetics, developmental biology, or vascular biology. Prior experience in basic molecular biology techniques (e.g., PCR, cloning, or genotyping), familiarity with CRISPR-Cas9 genome editing and/or experience working with model organisms such as zebrafish would be an asset, but not required.
The student should demonstrate strong organizational skills, attention to detail, and the ability to work both independently and as part of a team. An interest in microscopy, imaging, and data analysis is beneficial. Excellent communication skills and a willingness to learn

Research area: We study the interactions between viruses and host cells. Specifically, we investigate how viruses attempt to take over the cell nucleus and how the cell attempts to prevent this takeover. We use herpes simplex virus (HSV1) and related veterinary alphaherpesviruses to investigate the roles of chromatin in this "battle for the nucleus". We have identified a novel chromatin regulatory function for the only essential HSV1 transcription activator, ICP4. We aim to characterize this function and investigate how ICP4 might regulate chromatin to activate viral gene expression and promote viral takeover of the cell nucleus.

Student roles:
The student will be directed and trained in all techniques and background knowledge required to conduct their research project. They will independently engage in their project with oversight, supervision, and mentorship from the PI and laboratory technician. The student will meet with the PI weekly to review their progress, evaluate results, address any arising issues, and plan the research activities for the next week. They will also participate and present in weekly laboratory group meetings and events hosted by the Department of Veterinary Microbiology. The student will present their research project and results at the annual Western College of Veterinary Medicine Undergraduate Research Poster Day.
Towards identification of ICP4-interacting proteins, the student will establish and optimize a proximity ligation protocol to isolate ICP4-interacting proteins. The student will be responsible to construct and characterize a stable cell line with inducible expression of a BirA-ICP4 fusion protein. The student will verify functionality of the BirA-ICP4 fusion protein using viral complementation assays. The student will then optimize biotinylation conditions in cells that express BirA-ICP4 , or BirA as a control.
The student will be responsible to maintain up-to-date and accurate records of their research activities and data analyses. They will analyze, interpret, and synthesize the data they acquire (with guidance) and prepare figures to best present their results.

Skills required:
The student should have basic knowledge in the areas of cell biology and microbiology with some experience in common molecular biology techniques, including micropipetting. Practical experience with tissue culture techniques would be an asset, but is not required. The student should have excellent oral and written English communication abilities and possess strong problem-solving, organization, and interpersonal skills. The student should have a positive attitude, willingness to self-asses and improve, and take initiative in their learning and research activities.

Research area: We study the interactions between viruses and host cells. Specifically, we investigate how viruses attempt to take over the cell nucleus and how the cell attempts to prevent this takeover. We use herpes simplex virus (HSV1) and related veterinary alphaherpesviruses to investigate the roles of chromatin in this "battle for the nucleus". We have identified a novel chromatin regulatory function for the only essential HSV1 transcription activator, ICP4. We aim to characterize this function and investigate how ICP4 might regulate chromatin to activate viral gene expression and promote viral takeover of the cell nucleus.

Student roles:
The student will be directed and trained in all techniques and background knowledge required to conduct their research project. They will independently engage in their project with oversight, supervision, and mentorship from the PI and laboratory technician. The student will meet with the PI weekly to review their progress, evaluate results, address any arising issues, and plan the research activities for the next week. They will also participate and present in weekly laboratory group meetings and events hosted by the Department of Veterinary Microbiology. The student will present their research project and results at the annual Western College of Veterinary Medicine Undergraduate Research Poster Day.
To evaluate the nuclear mobility of ICP4, or a functionally inactive ICP4 mutant, the student will use live cell confocal imaging techniques. We already have within the laboratory expression constructs that encode wild-type or mutant ICP4- red fluorescent protein fusion proteins. The student will be responsible to create expression plasmids that encode wild-type or mutant ICP4 fused to a green-to-red photo-convertible fluorescent protein. These constructs will be transfected into mammalian cells to examine ICP4 nuclear mobility and the dynamics of ICP4 exchange in the presence or absence of HSV1 infection.
The student will be responsible to maintain up-to-date and accurate records of their research activities and data analyses. They will analyze, interpret, and synthesize the data they acquire (with guidance) and prepare figures to best present their results.

Skills required:
The student should have basic knowledge in the areas of cell biology and microbiology with some experience in common molecular biology techniques, including micropipetting. Practical experience with tissue culture techniques would be an asset, but is not required. The student should have excellent oral and written English communication abilities and possess strong problem-solving, organization, and interpersonal skills. The student should have a positive attitude, willingness to self-asses and improve, and take initiative in their learning and research activities.

Research area: In my research group we combine population genomics, classical genetics, biochemistry, physiology, molecular biology, phylogenetics, neurobiology and behavior. The interdisciplinarity is achieved thanks to wide range of collaborations as well as our willingness and courage to explore unknown. We work on wide variety of organisms from birds to plants, with main model species of canary birds. Other than genotype phenotype association we are also interested in understanding how gene function and expression evolve across species as well as how is it impacted by organismal biology, physiology and environment.

Student roles:
Candidate depending on their experience and interest will be able to develop the bioinformatics skills, by managing the sequencing data, analysis of eDNA data, already available in the lab (sampling done 05/2024). Additionally there will be opportunity to learn practical skills in molecular biology lab, such as extracting DNA, preparing sequencing libraries. There is also potential for additional field work and gaining practical skills in eDNA sampling. Intern will be expected to write a report based on their projects as well as present it at the group meeting. Potentially the mix of both, so the computer analysis combined with the bioinformatics is also possible.

Skills required:
Candidate for the internship should be interested in evolutionary biology. Basics of scripting/basic programming will be beneficial but not required. General understanding of evolutionary biology, genetics and genomics or computer science will be helpful in order to work in an interdisciplinary team with background in biology and computer science. The interest in freshwater ecosystems and/or eDNA studies will be a plus. Student should be willing to work collaboratively as a part of the team, with professionalism, attention to details and eager to learn.