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The Department of Biomedical Engineering of the Faculty of Medicine, McGill University, is seeking applications for a Course Lecturer for the 2026-2027 academic year to teach BMDE 656 Medical Device
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maintain well-documented code. Strong data visualization and scientific communication skills. Education/Experience: PhD in Ecology, Biology, Ecology & Evolution, Environmental Science, Computer Science, Data
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: Reporting to the Program Director for the Executive MBA Program (EMBA), the incumbent will provide administrative and logistics support in the following key areas: admissions, student affairs, module
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: Department of Bioengineering Position: Course Lecturer Course code and name: BIEN 505 - Medical Technology Innovation and Development . Main tasks The course lecturer will be responsible for the teaching
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of Mechanical Engineering Faculty of Engineering McGill University Winter 2027 Course Lecturer Position Deadline to Apply October 14, 2026 The Department of Mechanical Engineering is inviting applications for a
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 15 hours ago
of pharmacology and chemistry. Very good communication skills; good knowledge of basic computer skills (Word, Excel). Good command of English, CGPA for last 2 years of 3.7 minimum; TA has preferably taken 503
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: Department of Biology (Professor Jackie Vogel ) Position Summary: Assists with the construction of yeast strains following established laboratory protocols. Assists with plasmid isolation from bacterial
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on critically appraisal of the literature Qualifications: MSc in computer science Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work
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for selected courses related to the M.Eng. biomanufacturing program and M.Sc. concentration in Synthetic Biology Qualifications and Education Requirements: Candidates must have a PhD in Chemical
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: Domain knowledge in one or more of the following: bioinformatics, bioengineering, computational biology, biostatistics, biophysics, mathematical modeling, statistics. Previous experience an asset. Before