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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Date Posted: 07/09/2026 Req ID: 49296 Faculty/Division: UofT Mississauga Department: UTM: Philosophy Campus: University of Toronto Mississauga (UTM) Description: Can machines think and feel
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Course number and title: MIE429H1 F - Machine Intelligence Capstone Design Course description: A half-year capstone design course in which students work in small teams to apply the engineering
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Existing Vacancy: Yes The Canada Impact+ Emerging Leaders program is a one-time initiative
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unloads laundry into commercial washing and drying machines; adds soap and cleaning agents as required; folds and hangs items on completion as necessary. Maintains and operates commercial washers
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unloads laundry into commercial washing and drying machines; adds soap and cleaning agents as required; folds and hangs items on completion as necessary. Maintains and operates commercial washers
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unloads laundry into commercial washing and drying machines; adds soap and cleaning agents as required; folds and hangs items on completion as necessary. Maintains and operates commercial washers
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technologies used to generate, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related
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to the advancement of the department's goals while promoting a strong commitment to work-life balance among our employees. Under general direction of the Machine Shop Manager, the Student Workshop Machinist is
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used to support individual behaviour change and its application in precision medicine and personalized care. Case examples will be utilized to demonstrate issues of human-computer interaction in clinical