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, jointly supervised by Dr. Peter Zandstra and Dr. Fabio Rossi, focused on advancing our understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to
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) in the Northern Medical Program (NMP). This position will primarily be based at the distributed NMP site in Prince George, BC, at the University of Northern British Columbia (UNBC), one of the UBC
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opportunities for growth in the field of clinical research. To learn more about the research program, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper
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sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca/ . The Lab is part of the Canadian Pediatric Cancer
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to promote excellence and innovation in team-based primary care. The successful candidate will be expected to develop a theoretically informed, practically oriented CPD research program focusing on team-based
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Program goals. Further information can be found at: https://www.canada.ca/en/impact-plus-chairs/program-details/competition/2026/apply.html#10 . The University of Waterloo has an Indigenous Verification
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
performance through new wearable technologies and AI-powered movement analyses. This vision will be realized through collaborations with the Department of Computer Science and the Yousef Haj-Ahmad Department
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
benefits and protection from harms. Applicants must have earned a PhD degree in Statistics, or a related area (such as Computer Science, Data Science, Quantitative Social Science, Sociology, Economics