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); health, including biotechnology; clean technology and resource value chains; environment, climate resilience and the Arctic; food and water security; democratic and community resilience; manufacturing and
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identified by the Government of Canada: advanced digital technologies (including artificial intelligence, quantum and cybersecurity); health, including biotechnology; clean technology and resource value chains
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student - $20/h + 4% vacation indemnity; PhD student $23/h + 4% vacation indemnity Hours: Up to 3 hours per week Duration: ASAP to March 31st, 2026 Teaching and Academic programs is seeking forty (40) U3-U4
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2026 and an end date of June 30, 2029. Applicants must have earned a PhD degree in Philosophy or a closely related
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
integrates biomechanics, neuroscience, artificial intelligence (AI), and engineering to design the next generation of wearable technologies—such as robotic exoskeletons and intelligent prostheses—that adapt
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Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a
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available through the Office of the Provost and Vice-Principal (Academic): https://www.queensu.ca/provost/queens-national-scholars-program/queens-national-scholars-program-overview Qualifications As a Queen’s
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on the employment environment in the Faculty of Applied Science is available at https://apsc.ubc.ca/faculty/career-opportunities . All positions are subject to final budgetary approval. The University is committed
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on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is comprised of faculty from OCAD University and York University in close partnership with collaborating institutions
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis