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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
of Openings: est. 2 Lecture Sections: TU & TH 7:00pm-9:00pm Course Description: The course lays the foundation of business data analytics and its application to Management. Using state-of-the-art computational
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services to the pharmaceutical and other sectors. The Assistant Director will lead and expand the number of contracts for our licensed data suites and custom analytic projects that connect directly to the
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: 283244652 Department Data Mgt,Integration&Analytics Category Information Technology Job Type Full-Time Overview Princeton University is seeking an experienced Reporting and Analytics Lead to drive readiness
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. For recent examples of their work, see https://otheramerica.org/ and https://nicholaswpapageorge.com/ Conduct fieldwork and analyze data. Participate in weekly research group meetings. Prepare mandatory
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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discovery. The ideal candidate will manage multidisciplinary projects that integrate microbiology, biochemistry, and analytical chemistry to discover and characterize new natural product scaffolds and
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Care System analytics teams, local authorities, and community partners. The role also involves contributing to data pipelines, visualisation tools, and reproducible analytical workflows, and producing
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to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409347/research-assistant-… Requirements Additional Information Work
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and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among
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provides strategic leadership for the universitys learning data ecosystem to drive institutional data strategy. This role is responsible for the vision, development, and scalability of learning analytics