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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
, Computer and Mathematical Sciences, Psychology, Life Sciences, and Physical and Environmental Sciences); • Experience working with a diverse group of students; • A scholarly approach to one-to-one writing
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Position Description The Department of Computer Science in the Faculty of Arts & Science at the University of Toronto invites applications for a full-time tenure stream position in the area of
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(or related discipline) and at least 2 years experience teaching at both the undergraduate and graduate level in the fields of social determinants of health, health program evaluation, human motor behaviour
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Date Posted: 06/24/2026 Req ID: 48868 Faculty/Division: Faculty of Arts & Science Department: Dept of Physics Campus: St. George (Downtown Toronto) Existing Vacancy: Yes Description: Course number
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Date Posted: 06/09/2026 Req ID: 48492 Faculty/Division: Faculty of Arts & Science Department: Ctr for Industrial Relations Campus: St. George (Downtown Toronto) Description: Course Number and Title
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, which may include pedagogical research. The successful candidate will be expected to contribute to teaching within the Mathematics for Science and Industry Program and Integrated Mathematics and Computer
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Date Posted: 06/26/2026 Req ID: 49124 Faculty/Division: Faculty of Arts & Science Department: Dept of Slavic Languages & Literatures Campus: St. George (Downtown Toronto) Description: Course Number
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellow - Artificial Intelligence in Health & Medicine Posting Number PTAP3278P Department/Unit Computer
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of evidence-based practices and evaluation of impactful health outcomes in substance use and addiction. The successful candidate’s program of research will be grounded in implementation science, aimed
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methods with a focus on computational techniques to analyze genomic data. Students who complete this course will understand the scientific principles underlying genomic tests, examine the limitations and