601 parallel-computing-numerical-methods positions at University of Toronto in Canada
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
Scarborough Department: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF2314H – Program Evaluation Course Description: This course will introduce students
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Sessional Lecturer Position Posting Date: May 2, 2025 Program: Master of Health Informatics (MHI) Sessional Dates of Appointment: Fall 2025, September to December Course Description: This course is
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informatics and related technology; Past teaching experience related to health informatics, preferably at the graduate level; Prior experience in curriculum development and adult teaching-learning methods
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Sessional Lecturer Position Posting Date: May 2, 2025 Program: Master of Health Informatics (MHI) Sessional Dates of Appointment: Fall 2026 Course Description: MHI2010H is an extension of MHI2005Y
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Sessional Lecturer Position Posting Date: May 2, 2025 Program: ExecutiveMaster of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025, September to December Course Description: Data
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CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: May 2, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF351H1 – Information Design Studio I: How to Make a Computer and Why Course Description: By
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. Working closely with the Associate Director, Service Delivery, the Business Analyst & Implementation Coordinator will be responsible for gathering and analyzing business requirements/requests from numerous
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one of the top ten statistics departments in North America, with our faculty developing numerous important innovations in statistical science. Our mission is to serve as a centre of excellence for