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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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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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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 | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
program, or acceptable combination of equivalent experience - Minimum three years in a heterogeneous Windows, Mac OS, and Unix/Linux environment - Must have diverse application experience including, but not
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Technology, the Manager, Research Computing has the primary responsibility for providing strategic leadership and management for the Faculty’s research computing initiatives, ensuring alignment with the University’s
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chemistry, with experience planning and troubleshooting synthetic routes and performing parallel library synthesis. The ideal candidate should have experiences with one or more of the following: working with
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
the logistical execution of events and programs, developing communication strategies, evaluating outcomes, and coordinating internal funding competitions. In parallel, the Advisor serves as a key resource on
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interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with cluster computing and job
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maintenance Experience in interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with