696 computer-science-quantum "https:" "https:" "https:" "https:" "https:" positions at University of Toronto in Canada
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Date Posted: 01/12/2026 Req ID: 46597 Faculty/Division: Faculty of Arts & Science Department: Dept of Chemistry Campus: St. George (Downtown Toronto) Position Number: 00042772 Existing Vacancy: Yes
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generations of interdisciplinary trainees. DSI aims to unify and galvanize the core strengths of Toronto’s data science community building capacity for data and computational-based research projects and
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program areas and legal counsel to support defensible decision-making and effective dispute resolution. Reporting to the Director, Operational and Strategic Policy, the Appeal Manager will be responsible
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Vacancy: Yes 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
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the ability to lead a world-class research program related to cardiology that aligns with the strategic priorities of Unity Health Toronto. This may include research that advances our fundamental understanding
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Science, Statistics, Mathematics, Information Science or Economics. Master's Degree, particularly in Data Analytics, Statistics, or a related quantitative discipline is considered an asset. Minimum of 5
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Vacancy: Yes 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
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Course number and title: ECE496Y1 Y – Design Project Course description: ECE496Y is a full-year course required for all fourth-year electrical and computer engineering students, allowing them
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Course Description: Harm Reduction for Information Professionals introduces students to the fundamental perspectives, practices, and methodologies of harm reduction in the Information Science field
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process large amounts of data and information with minimal errors. Experience with University and Faculty of Arts & Science procedures, regulations and program offerings. Must have excellent oral and