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drug development. Estimated Course Enrolment: 45 students Estimated TA Support: 1 positions (40 hours) Class Schedule: Tuesdays, 1:00 pm – 3:00 pm** **The delivery method for this course is currently in
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Date Posted: 08/05/2025 Req ID: 44624 Faculty/Division: Temerty Faculty of Medicine Department: MedIT Campus: St. George (Downtown Toronto) Position Number: 00058449 Description: About us: Home to
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Date Posted: 08/05/2025 Req ID: 44625 Faculty/Division: Temerty Faculty of Medicine Department: MedIT Campus: St. George (Downtown Toronto) Position Number: 00058451 Description: About us: Home to
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
. Estimated course enrolment: 80 Number of positions: 2 Size of appointment: 54 hrs Sessional dates of appointment: September 1, 2025 - December 31, 2025 Salary: $54.27 per hour + 4% vacation pay Minimum
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Date Posted: 07/28/2025 Req ID: 44514 Faculty/Division: Temerty Faculty of Medicine Department: Dept of Family & Community Medicine Campus: St. George (Downtown Toronto) Position Number: 00050971
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Date Posted: 07/28/2025 Req ID: 44533 Faculty/Division: School of Management Department: Joseph L. Rotman School of Management Campus: St. George (Downtown Toronto) Position Number: 00056234
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Date Posted: 08/12/2025 Req ID: 44749 Faculty/Division: Vice-Provost, Students Department: Accessibility Services Campus: St. George (Downtown Toronto) Position Number: 00034751 Description: About
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into consideration as applicable to the position. Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather
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) Position Number: 00058296 Description: About us: Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science
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title: CSC2515HS - Introduction to Machine Learning Please note, this position is a 0.5 FCE appointment. Course description: Machine learning (ML) is a set of techniques that allow computers to learn