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Stata and/or R. Knowledge of research function. Ability to perform research analysis duties. Must have statistical analysis, systems programming, and database design skills to perform research analysis
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collection tool and using R, R-Shiny or another statistical data software for quantitative analyses, preferred. Experience writing qualitative rapid analysis reports, designing qualitative codebooks and/or
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power users to design and implement infrastructure that supports analytics and machine learning workflows, including feature engineering pipelines and model outputs integration. Use Python or R to support
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- Laboratory/Non-Laboratory Staff/Administrative Internal Number: 17492 POSITION RESPONSIBILITIES The Psychology Assistant will assist faculty on the R-CARE study in administering neuropsychological tests
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., HRS, GFS) in R, Stata, or Python Conduct descriptive, inferential, and multivariate statistical analyses according to project aims Create and document reproducible analysis pipelines Manage code
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projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: A PhD in Computer
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researchers involved in security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
distance of their assigned duty station. Education and Experience: Experience using Python and/or R and relevant libraries for working with images, natural language processing, and working with application
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Experience: Bachelor?s degree in biology, chemistry or other life sciences Master?s in Statistics, PhD preferred Experience with biostatistics software; experience in the use of Stata or R preferred Experience
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science skills. Large datasets comprising up to many millions of data points are compiled, cleaned, processed, analyzed and interpreted using Python and R. Many tasks are performed using Princeton's high