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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
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encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Philosophy of Science and/or Technology or a closely related discipline by the time of appointment, or shortly
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1325H LEC0101 – Online Information Retrieval Course Description: This course focuses on
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF1325H LEC0102 – Online Information Retrieval Course Description: This course focuses on
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encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Philosophy of Science and/or Technology or a closely related discipline, with a clearly demonstrated record of
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1341H LEC0101 – System Analysis and Process Innovation Course Description: Multiple methods
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1341H LEC5101 – System Analysis and Process Innovation Course Description: Multiple methods
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and Mental Health. The successful candidate must already hold, or be eligible for, a Full-Time Clinical (MD) or Status-Only (PhD) academic appointment with the Temerty Faculty of Medicine, U of T
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of caution around health and safety practices Assets (Nonessential): PhD in health sciences Experience with space planning software Familiarity with Temerty Medicine Research Spaces To be successful in
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is