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Mount Allison University | Fredericton South New Brunswick Provincial Government, New Brunswick | Canada | about 9 hours ago
-month sessional (non-tenure track and non-continuing) position for the period August 1, 2026 to April 30, 2027, subject to budgetary approval. We are looking for someone to teach our first-year cell
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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics
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: Steinberg Centre for Simulation and Interactive Learning Position Summary: Will assist in the training of individuals studying or working in the health care profession. They will be coached and trained
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overall quality of life is outstanding. McGill University, founded in 1821, is one of Canada’s best-known institutions of higher learning and is consistently ranked among the top 20 public universities in
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. Job Duties The successful candidate will be involved in the academic activities of the McGill University Department of Neurology and Neurosurgery, Division of Neurosurgery, Brain-Computer Interface. The
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to teach, supervise, and mentor in this context. Membership or eligibility for membership in a Canadian professional engineering association is required. Faculty/Department/Unit: Faculty of Engineering
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with the objectives of the Impact+ Program. Successful candidates are expected to teach both undergraduate and graduate courses, develop courses at all levels in their areas of specialization, supervise
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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original, externally funded research (e.g., tri-council and partnership grants) and effectively supervise master’s and doctoral students in Kinesiology Sciences, teach at the undergraduate and graduate
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for Indigenous Peoples Nutrition and Environment (CINE) at the Faculty of Agricultural and Environmental Sciences . Through multidisciplinary knowledge co-production, sharing, reciprocal learning, and capacity