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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 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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" A complete application includes your responses to the application form with a cover letter and current Curriculum Vitae; click here to apply . Course Number and Name: DMU111H1 Computer Applications in
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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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adjustments to all equipment and controls serving areas such as computer rooms, laboratories, classrooms, offices, special faculty cold rooms/ warm rooms, etc.; answers and reacts promptly to all trouble calls
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
strong computer skills; experience in Word, Excel, PowerPoint and other related software. Excellent communication and interpersonal skills. Demonstrated superior customer service skills. Ability to multi
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legislation; Experience working with collective agreements is an asset. Skills: Excellent communication, consultation, analytical, and organizational skills; Good computer skills including spreadsheets and
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world