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Date Posted: 05/06/2025 Req ID: 42819 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Position Number: 00049483 Description
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Press Tab to Move to Skip to Content Link Skip to main content Home Current Opportunities All Opportunities Staff Opportunities Faculty Opportunities Librarian Opportunities CUPE 3902 (Unit 3) Opportunities CUPE 3902 (Unit 3) Emergency Posting Opportunities UTemp (Short-Term) Affiliated Hospital...
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CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: May 2, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
: MAT344H5F Intro To Combinatorics (emergency post) Course description: Basic counting principles, generating functions, permutations with restrictions. Fundamentals of graph theory with algorithms
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Date Posted: 08/06/2025 Req ID: 44634 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Position Number: 00058335 Description
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
statements and proofs, induction, topics chosen from combinatorics, elementary number theory, Euclidean geometry. Estimated course enrolment: 800 Number of positions: 1 Size of appointment: 50 hrs Sessional
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
: MAT223H5F Linear Algebra I (emergency post) Course description: Systems of linear equations, matrix algebra, determinants. Vector geometry in R2 and R3. Complex numbers. Rn: subspaces, linear independence
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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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, series and Taylor series, vector differentiation, and partial differentiation. Problems combining calculus with geometry, linear algebra, statics, and mechanics will be examined. Posting end date: August