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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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, 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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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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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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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
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with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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. In order to address systemic barriers and increase diversity in the Canada Research Chairs Program and meet government-mandated requirements , selection will be limited to candidates who identify as
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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Engineering Department: Electrical & Computer Engineering Campus: St. George Contact Email Address: ugta.ece@utoronto.ca Course Number and Title: APS105H1 S – Computer Fundamentals Course Description: An