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Term Teaching Assistant Positions in the Institute for the Study of International Development Posting Date: October 17, 2025 The final number of positions available will depend upon enrollments. The list
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and Cell Biology Course Title and Course Number: ANAT 416 - Disease, Development and Regeneration Estimated Number of Positions: 1 Total Hours of Work per Term: 130 Position Summary: Teaching Assistant
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Course Developer – Curriculum to develop and adapt a course to an online format, specifically adapted to Indigenous realities (Cree specific is ideal) and working closely with Director, Indigenous Access
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Development Process (3 credits) . Course overview: Today’s development of medical devices must be performed following existing standards such as ISO 13485:2016 for Europe, 21CFR 820 Quality System Regulation
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 days ago
: Department of Pharmacology & Therapeutics Course Title and Course Number: Drug Discovery and Development 2 - PHAR 504 Estimated Number of Positions: 1 Total Hours of Work per Term: 45 hours per position
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 days ago
: Department of Pharmacology & Therapeutics Course Title and Course Number: Drug Discovery and Development 3 - PHAR 508 Estimated Number of Positions: 1 Total Hours of Work per Term: 35 hours per position
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of McGill University. To find out more about UA, please visit us at www.mcgill.ca/advancement/ua-careers . Position Summary: Reporting to the Associate Director, Prospect Development, the Prospect
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de recherche du Québec - Santé (FRQS). Position summary This project involves the development and updating of a variety of software applications used to assess hemodialysis adequacy and to analyze
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a member of the Canadian Centre for Computational Genomics (C3G) ARC team, the Software Infrastructure Developer (Cloud Analyst) will be supporting scientific research platforms deployed on the newly
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role