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of Computer Science Course Title: Artificial Intelligence Course Code: COMP 424 Estimated Number of Positions: 8 Total Hours of Work per Term: 90 Hiring Unit: School of Computer Science Course Number
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2027 (January 2027 - April 2027) INF2178H - Experimental Design for Data Science Course Description: At the heart of every
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) Description:Artificial Intelligence (AI) and Data Informed Decision Making (DIDM) rely heavily on data and the use of AI and DIDM is necessary in order to maintain competitiveness in modern manufacturing. Industry
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frameworks, standards, and operational workflows that support high-quality, secure, and accessible research data across multidisciplinary projects and collaborating institutions. The Data Manager will act as a
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The Department of Physiology, University of Toronto (St. George campus) is recruiting a Sessional Lecturer to teach the renal section of PSL201Y (Basic Human Physiology) during Fall 2026. The course
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Primary Purpose: Academic Data and Accreditation Specialist, reports to the Programs and Projects Officer in Engineering and provides administrative and data management support. The focus
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Description: About us: U of T Mississauga—the second largest campus of Canada’s top-ranked university and the only research university in Ontario’s booming Peel Region—is one of the world’s great catalysts
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Posting Details Position Information Job Title Associate Vice-President, Human Resources About the University At the University of Lethbridge, we speak in perspectives. Founded in 1967
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Sessional Lecturer Position Posting Date: June 8, 2026 Program: Master of Health Informatics (MHI) Sessional Dates of Appointment: Fall 2026, September to December Existing Vacancy: Yes Course
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
MMI1020H Big Data Analysis This course introduces students to the art and science of data analysis and provides a set of statistical and econometric tools that are useful in managerial decision