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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
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are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement. It is understood that some
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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: Course number and title: MIE1628 – Cloud-Based Data Analytics Course description: This course covers Big Data fundamentals including an overview of Hadoop MapReduce and Spark. Covers Cloud fundamentals and
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requirements Demonstrated experience working with large and complex data sets, as well as experience analyzing volumes of data Demonstrated experience in creating data models and datasets Experience with Tableau
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effectively with cross-functional teams. Assets (Nonessential): Experience in a research or academic environment, particularly in handling large and complex scientific datasets. Knowledge of data modeling
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Date Posted: 09/25/2025 Req ID: 45299 Faculty/Division: Vice-Provost, Students Department: Housing Services Campus: St. George (Downtown Toronto) Position Number: 00049736 Description: About us
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Date Posted: 09/08/2025 Req ID: 45090 Faculty/Division: Faculty of Arts & Science Department: School of Cities Campus: St. George (Downtown Toronto) Position Number: 00058668 Description: About us
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 28 days ago
Institute of Communication, Culture, Information and Technology University of Toronto Mississauga FALL 2025 Sessional Instructional Assistant Positions Posted in accordance with the CUPE 3902 Unit 3
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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