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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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pre-recorded lectures. Data are increasingly being collected digitally throughout our healthcare system. New sources and uses of data could help improve patient outcomes, lower health system costs, and
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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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: The Data Manager will lead the development, implementation, and continuous improvement of research data management practices supporting the Clinical, Biospecimen, Imaging and Genetic (C-BIG) repository
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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
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
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Description: Data are increasingly being collected digitally throughout our healthcare system. New sources and uses of data could help improve patient outcomes, lower health system costs, and improve health
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: Reporting to the Associate Director of Digital Marketing and Lead Generation at the Desautels Faculty of Management, the Data and Insights Analyst works with key partners and systems to define, track and
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: Department of Family Medicine Course Title: Epidemiology and Data Analysis in Primary Care Course Code: FMED 505 Estimated Number of Positions: 1 Total Hours of Work per Term: 40 Hiring Unit: Department of
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
Description: Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization The Institute for Management and Innovation’s Master of Urban