24 Postdoctoral Fellowship at University of Alberta, Canada

The structural biology laboratory of Kalyan Das at MMI, University of Alberta, Canada invites applications from highly motivated researchers interested in pursuing a career in structure-based drug design using single-particle cryo-EM. A candidate should have a Ph. D. degree in structural biology, molecular biology, chemical biology, biochemistry, or a related field with a proven track record. Strong hands-on experience in protein engineering, protein expression in bacteria and insect cells, and biophysical characterization of proteins and macromolecule assemblies is essential. Knowledge in structural biology is helpful; however, successful candidates will have the training opportunities to carry out structural studies by single-particle cryo-EM. A qualified person should be a team player and should have strong writing and verbal communication skills. 

Our structural biology laboratory is equipped or access to state-of-the-art Krios G4 TEM, Vitrobot Mark IV and Leica GP2, multiple advanced GPU workstations for cryo-EM. The lab is also equipped with Akta Pure 25 integrated with Wyatt Optilab T-rEX, miniDAWN TREOS, and DynoPro NanoStar for purification and characterization of macromolecules

• The successful candidate will contribute to various ongoing studies with a primary focus on two 2-site randomized controlled trials with the Universities of Alberta and Toronto. Both trials involve a multimodal lifestyle intervention aimed at improving body composition and cardiometabolic health in endometrial and breast cancer survivors. This position is based in-person at the University of Alberta in Edmonton, with close working relationship with the University of Toronto site, PI, Dr. Amy Kirkham in the Faculty of Kinesiology & Physical Education. The candidate will support the implementation and management of study protocols across the study sites, plus management of the local site for one trial, and contribute to the local site only for the second trial.
• Responsibilities include providing mentorship and support to a team of graduate students and staff to manage research ethics, participant recruitment, screening, and assessment as well as overseeing trial delivery components such a digital health platform and nutrition education. The fellow will analyze and interpret clinical data derived from state-of-art body composition and cardiovascular assessment techniques (such as DXA, MRI, ultrasound), dietary assessments, physical activity and sleep monitor data, metabolic cart, and metabolic biomarkers, among others. In one of the trials data collection includes assessments of physical and cognitive function.
• The candidate will also lead and collaborate on the preparation of abstracts, manuscripts, and conference presentations, and support the development of educational and knowledge translation materials for participants and funders. Opportunities to assist with grant writing will be provided and encouraged. The postdoctoral fellow will also provide mentorship and support to trainees in the lab ranging from undergraduate to doctoral levels, as well as to research staff. Active engagement with multidisciplinary research teams from various institutions and both clinical (especially oncology and cardiology) and academic collaborators will be essential.
• This role offers valuable experience in clinical trials, oncology, digital health tools, cardiometabolic health, and multimodal lifestyle interventions. These experiences are expected to provide the candidate with unparalleled preparation for developing their own independent lab.

The successful candidate will work closely with Drs. Feng Qiu and Vic Adamowicz as well as an interdisciplinary team of experts on a land use project. The primary focus is on land use change modeling, emphasizing peatland dynamics in Canada, using geospatial data analysis and machine learning techniques.

The role is crucial to the “Modelling Peatland Disturbance/Conversion in Alberta” project funded by Environment and Climate Change Canada. This project examines baseline trajectories for peatlands under alternative possible policy and economic futures with the intent of using this baseline as the benchmark for the evaluation of climate change policy measures.

We are seeking a postdoctoral researcher for a collaborative project jointly led by Prof Nidhi Hegde (University of Alberta, Amii) and Prof Dhanya Sridhar (Université de Montréal, MILA) and funded through the Canadian Institute for Advanced Research (CIFAR).

The focus of the project is on strategic classification and causal models. In particular, we aim to study long-term fairness and develop robust learning algorithms in a strategic classification framework.

The selected candidate will benefit from the motivating environments at both the Alberta Machine Intelligence Institute (Amii) and Mila – Quebec Artificial Intelligence Institute. Both institutes and affiliated universities offer numerous opportunities for professional development for postdocs to carve their paths, whether in academia or industry.

The Foundations of Robust and Trustworthy Machine Learning (FORT) lab led by Prof Nidhi Hegde has an immediate opening for a postdoctoral researcher. The FORT lab focuses on a fundamental approach to developing robust and trustworthy algorithms for machine learning. This largely applies to notions of privacy and fairness, but also to more general concepts of robustness and stability. Applications range from supervised learning to bandits to language models to image segmentation. The current open position is for a project on Distributionally Robust Optimization as applied to these themes. 

The selected candidate will be hosted in the FORT lab, in the Department of Computing Science at the University of Alberta and the Alberta Machine Intelligence Institute (Amii). Both Amii and the University of Alberta offer numerous opportunities of professional development for postdoctoral researchers to carve their paths, whether in academia or industry.

This position offers the opportunity to contribute to innovative research in child development and participation through brain-computer interface (BCI) technology. We seek candidates passionate about the clinical implementation of non-invasive (BCIs) for neurodiverse children and youth. This interdisciplinary patient and family-centered research involves medicine, rehabilitation, and engineering faculties, aiming to enhance participation and development through play, mobility, and communication for people with neurological impairments.

A background in rehabilitation sciences, neuroscience, or developmental psychology is preferred. Successful candidates will have strong communication, collaboration, and coordination skills to work effectively with patients, families, researchers, clinicians, and industry partners and contribute successfully to this intersectoral research.

The successful applicants will participate and lead research that applies advanced statistical, AI and ML techniques to large populational health data of patients with mental and substance use disorders. Current and potential projects include two main directions: 1) Individualized prediction of mental and substance use disorders and overdoses and associated health and economical outcomes in the population using health, survey and biological data; 2) Implementation of ML models through interactions with multiple stakeholders and people with living and lived experiences.

The successful applicants will have the opportunity of supervised access to several public and government/institution owned datasets, including large (over 4 million people) de-identified health data from Alberta. In this context, there are excellent opportunities for shared mentorship and collaboration with several PIs in psychiatry and computing science, including the Alberta machine intelligence institute (Amii).

The successful applicants will play a leadership role for several research projects in computational psychiatry, develop and participate in preparation of research grant proposals, assist in the supervision and training of other personnel including technologists, graduate students, other lab members and scientific collaborators. The successful applicant will also have the opportunity to work directly with our partners in Ministries of Alberta Government, Alberta Health Services (AHS) and Canadian Mental Health Association Edmonton, as well as international partners. The ideal applicant will exhibit a high level of motivation to pursue data-driven research in mental disorders, to publish in excellent peer-reviewed journals, and to seek prestigious fellowships and research awards, as appropriate.

The Clemente research group invites applications for a postdoctoral fellow to perform high-level complex research activities for projects in cardioimmunology. Our main research topics include immune responses in cardioncology, viral and autoimmune myocarditis. We use genetically modified mouse models to uncover the role of immune cells in these settings. The projects will expose the PDF to a wide variety of scientific questions and approaches, including exploring changes in immunological responses and understanding mechanistic relationships between the immune system and heart function 

The PDF will help establish project goals and experiments, and guide technicians and students in the lab. Specifically, for animal experiments, the candidate will be responsible for managing the ordering and maintenance of animals, records, and animal experiments. Independent decision-making and collaboration with lab trainees, animal care staff, the principal investigator, and veterinarians will be needed.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Fellow – Machine Learning in Medicine

Deadline : Open Until Filled

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The Clemente research group invites applications for research associates to perform high-level complex research activities for projects in cardioimmunology. Our main research topics include immune responses in cardioncology, viral and autoimmune myocarditis. We use genetically modified mouse models to uncover the role of immune cells in these settings. The projects will expose the RA to a wide variety of scientific questions and approaches, including exploring changes in immunological responses and understanding mechanistic relationships between the immune system and heart function 

The RA will help establish project goals and experiments, and guide technicians and students in the lab. Specifically, for animal experiments, the candidate will be responsible for managing the ordering and maintenance of animals, records, and animal experiments. Independent decision-making and collaboration with lab trainees, animal care staff, the principal investigator, and veterinarians will be needed.