697 assistant-professor-computer-science-data-"https:" "https:" "https:" "https:" "https:" "https:" positions at University of Toronto in canada
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: Health Informatics, Information Science, Information Systems, or other relevant fields. Candidates should have focused expertise in the implementation, or scaling of digital health innovations, with
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
essential information and practical experience in recombinant DNA technology, molecular biology and bio-informatics. Please ensure you apply at this link as applications are not seen on SuccessFactors: https
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Sessional Lecturer Position Posting Date: September 21, 2026 Program: Executive Masters of Health Informatics (eMHI) Sessional Dates of Appointment: Winter 2027, January – April Existing Vacancy
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Hospital, please visit https://unityhealth.to/locations/st-michaels-hospital/ For information about the Department of Medicine at the University of Toronto, please visit our website at http
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candidate must be eligible for a full-time clinical academic appointment at the rank of Lecturer or Assistant, Associate, or Full Professor at the University of Toronto. The candidate will have an academic
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full-time clinical academic appointment at the rank of Lecturer or Assistant, Associate, or Full Professor at the University of Toronto. The candidate will have an academic position description
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and Title: MMF1941H1F: Dynamic Data Science (Section LEC 0101) Course Description: This course explores advanced data science techniques applied to dynamic, time-series, and streaming data, with a
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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: Course Description: This studio continues to explore the role of technology in design and promotes innovation in design tool development, building systems, simulation and visualization. Emphasis will be
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: None Qualifications: A PhD or Masters level education with experience in health informatics and information technology; A robust understanding of EHR interoperability standards and architecture, data