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Date Posted: 06/23/2025 Req ID: 43778 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
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Bachelor of Arts (HBA) or Honours Bachelor of Science (HBSc) degree program in the Faculty of Arts & Science. The program is designed for mature learners, and bridges the gap between prior formal education
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: 00058217 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 Network and is a
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 429 Course Title: Software Validation Course Credits: 3 credits Location: WONG 1020 Schedule: Mondays: 06:05 pm-8:55 pm
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of skill required and the extent of responsibility involved in this job; they in no way limit the incumbent to the tasks indicated: regular rounds to check mechanical equipment and perform needed
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achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job Summary The Masters of Data Science in Computational Linguistics
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previously awarded CERCs in Arctic climate and marine sciences and recognizes an urgent need to accelerate climate action and sustainability. This new CERC program in Arctic Climate Action and Sustainability
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
of business strategy and the management of business enterprises in rapidly evolving, technology-intensive industries. Examples of such industries include (but are not restricted to) pharmaceuticals, computer
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 428 Course Title: Software Engineering Practice Course Credits: 3 credits Location: ENGTR 1080 Schedule: Mondays: 11
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: Notifying CDSI staff or instructors in advance if unable to attend scheduled workshops. Computer Systems Workshop: Preferably students in Computer Science or Software Engineering. ML & NLP: Preferably those