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Date Posted: 11/12/2025 Req ID:45980 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Description: The Department
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, and administrative missions. Qualifications University degree in Computer Engineering, Computer Science, or related discipline, or an equivalent combination of education and experience. Minimum 7 years
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Date Posted: 11/11/2025 Req ID: 45976 Faculty/Division: Faculty of Arts & Science Department: Dept of Economics Campus: St. George (Downtown Toronto) Position Number: 00032747 Description: About us
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: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Description: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
exciting campus with unlimited potential. Join us on our journey. As part of the Facilities Management department the Engineering Operations is responsible for the monitoring, operation and maintenance
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donors to the Faculty of Arts & Science. They will work closely with the Stewardship team to execute strategies related to the Stewardship program. They will be responsible for timely recognition of gifts
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Date Posted: 11/03/2025 Req ID:45863 Faculty/Division: Faculty of Applied Science & Engineering Department: Professional Experience Year Campus: St. George (Downtown Toronto) Description
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
current and potential rivals. The course enables students to gain a more in-depth understanding of and appreciation for business strategy using in-part, an economics-based approach to this important topic
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Program Description PPIT introduces participants to curriculum, teaching, and learning within the context of engineering education, and supports participants in developing applications for academic
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degree in Robotics or Computer Science, and an undergraduate degree in a robotics discipline such as computer engineering, control and mechatronics. An academic background in machine learning and