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: Experience designing and administering large-scale surveys, and working with linked administrative or telemetry data under GDPR. Familiarity with causal-inference methods for staggered programme
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Northeastern University | Vancouver (Waterfront / Coal Harbour / Canada Place), British Columbia | Canada | 7 days ago
probability 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
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on-ground in Portland, ME. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data
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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Associate Professor/Professor - Data Science Computation Date
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apply. JOB SUMMARY Under immediate supervision, this position serves as a Graduate Student Assistant on the Technology Infrastructure for Data Exploration (TIDE) project ( https://tide.sdsu.edu
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California State University, San Bernardino | San Bernardino, California | United States | about 8 hours ago
Assistant on the Technology Infrastructure for Data Exploration (TIDE) project ( https://tide.sdsu.edu/) , a multi-campus initiative funded by the National Science Foundation to create the first
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-professorship is based at the Department of Statistics within the Faculty of Mathematics, Informatics and Statistics and is linked with the leadership of a research group Computational Statistics
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wide array of graduate, professional, and undergraduate programs. The library system provides access to millions of resources in various formats, including electronic, print, audio-visual, data and
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What We Are Looking For The Baylor Mathematics Department is seeking a Postdoctoral Research Associate to work on an NSF-funded project focused on the Irksome project ( https
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position is located at the Northeastern University Boston Campus. Responsibilities: Instructional areas included, but are not limited to, analytics/AI (e.g., probability and statistics, data exploration