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solutions to problems encountered and makes suggestions regarding work methods to improve efficiency of the workplace. Organizes and researches training opportunities to broaden knowledge. Identifies
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: Experimental Medicine Course Title and Course Number: Computational Methods for Single-cell Data Analytics EXMD 521-1 Estimated Number of Positions: 1 Total Hours of Work per Term: 60 hours (approximately
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of evidence-based practice, research methods, and knowledge translation. The TA will be expected to: (1) embrace learner-centered approaches to teaching; (2) mobilize students, guest speakers, and resources
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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the Department of Electrical & Computer Engineering for the Fall 2025 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering Application
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appropriate reporting and year-end financial documentation. Develop and implement procedures, controls and record keeping systems for the unit. Analyze and develop methods for budgetary planning and recommend
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seeking to recruit an internationally recognized, interdisciplinary scientist with a strong track record in innovation and research leadership to direct a new program in climate change, environment, and
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computational and digital psychiatry, (digital) biomarkers, and the use of novel methods and data for assessing mental health. The DRC has a strong history of advancing interdisciplinary research programs
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ensure compliance with McGill research-centre policies. Research Management Approve project pipelines and allocate resources across mixed-method studies. Uphold methodological rigor and research ethics