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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
tools, students learn the fundamentals of processing, visualizing, and identifying patterns from data to draw actionable insights and improve decision making in business processes. Students will also
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intelligence tools. Manages data input from multiple platforms, and synchronizes and normalizes data to ensure consistency in analysis. Conceptualizes, designs, and develops data visualization solutions
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Postdoctoral Associate in History of Art The Department of History of Art & Visual Studies at Cornell University (https://arthistory.cornell.edu) invites applications for a two-year Postdoctoral
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for the positions being filled. Applicants claiming preference are responsible for providing required documentation at the time of submitting application. For information on obtaining a DD 214 visit http
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visual acuity Hazards: Biological, Chemical, Dust, Electrical, Fumes/Gases/Odors, Radiation, Sharp objects/tools Potential for violence/physical altercations Salary Information: Commensurate with education
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, applicants must apply for the Audio Visual Specialist at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a
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exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals
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finishing by Fall 2026 will be considered). • Teaching Experience: Demonstrated experience teaching undergraduate courses, including core data science topics such as statistics, data visualization, and
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to submit your application : https://ntu.wd3.myworkdayjobs.com/Careers Closing date for applications: 31 March 2026. The successful candidate is expected to assume duty in August 2026. Only shortlisted
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data visualizations (dashboards) using R-Shiny within a team development context and requires a candidate with demonstrative R skills. Experience with R-Shiny is preferred. In addition, candidates will