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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
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: Introduction to the Big Data Era & Opportunities for Better Health Care Department Research and Experimental Medicine Support | Department of Medicine | Faculty of Medicine Compensation Range $38.65 - $38.65 CAD
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environmental, climatic, geographic, and biodiversity datasets. Compiles, cleans, and integrates large ecological datasets, including plant occurrence records, climate variables, remote-sensing products
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observational sources include data from field campaigns, long-term observational deployments, and operational satellite and radar. The numerical experiments will include large-eddy simulations over large domains
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Primary Purpose: To contribute to the efficient operation of the Large Animal Hospital by providing technical assistance to clinicians and undergraduate students. Nature of Work: Reporting to
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Applications are invited from qualified individuals for a full-time tenure-track faculty position in Beef Cattle Research and Extension in the Department of Large Animal Clinical Sciences (https
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+ years of progressive experience in data governance, data analysis, data management, data quality, or related roles within large, complex organizations, preferably in Higher Education. DAMA Certified: Data
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collaboration with VSE and CIDER faculty members on research projects in applied microeconomics involving large and complex data sets. The successful candidate will be involved in all aspects of research, from
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range of senior clerical and financial support for various large-sized and/or complex units within the VP Research & Innovation Portfolio. Organizational Status The position reports to the Portfolio
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. Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion. Preferred Qualifications Extensive experience with data analysis in large ERP