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The Department of Indigenous Studies in the College of Arts and Science and the Gwenna Moss Centre for Teaching and Learning invite applications for an Out-of-Scope Sessional Lecturer to teach
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Position in Software Engineering Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill University invites applications for a
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: Department of Integrated Studies in Education (DISE) Course Description: EDEC 612. Digital Media and Learning. This course addresses emerging theories, pedagogies, and practices related to youth learning
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Québec ; Have acquired fellowship training in Thrombosis Medicine; Have graduate research training (e.g., MSc, PhD, or equivalent); Have a proven track record of research productivity (publications, grants
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that would complement and enhance our existing strengths in developmental biology, model organism genetics, stem cell biology, brain tumour research, and regenerative medicine. Candidates must hold a PhD, MD
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initiatives, or with programming language experience and experience in machine learning and health informatics. An understanding of the digital health space, is expected but not essential. Must have previously
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
weekend shifts; Reviews computer printouts and alarms and takes appropriate action; Co-ordinates and/or assists outside contractors and University of Toronto Trades Services when work is performed during
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vacancy at the University. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff
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Application Restrictions Job Type Open Learning Curriculum Development Closing Application Date 26/11/2025 Applications will be reviewed commencing the closing application date and may continue
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a