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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Lecturer I Course Title: PHY325H5 • Mathematical and Computational Physics Course Description: The theory and application of mathematical methods for the physical sciences. Topics may include: vector
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
Scarborough Department: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF351H1 – Information Design Studio I: How to Make a Computer and Why Course Description: By
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named in the top 25 in the Times Higher Education World University Rankings. Located in and around Toronto, one of the world's most diverse cities, the University of Toronto's vibrant academic life is
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Technology, the Manager, Research Computing has the primary responsibility for providing strategic leadership and management for the Faculty’s research computing initiatives, ensuring alignment with the University’s
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North America. The University of Toronto ranks 4th globally and 1st among public universities in North America (National Taiwan University); 9th in medical and health (Times Higher Education); 5th in
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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lives, increase profits and minimize resource usage. Considerable attention in the course is devoted to applications of computational and modeling algorithms to finance, risk management, marketing, health
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Date Posted: 07/31/2025 Req ID: 44594 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture