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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select
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) Position Number 600144 Vacancy Open to All Candidates Department EHH BSOM Psychiatry and Behav Med Department Homepage https://psychiatry.ecu.edu/ Advertising Department PSYCH--CHILD Division ECU Health/BSOM
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Department Homepage https://surgery.ecu.edu/ Advertising Department SURGERY-TRANSPLANT Division ECU Health/BSOM Classification Title Clinical Associate Professor, Clinical Professor, Associate Professor
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-of-the-art experimental techniques, innovative methodologies, and/or numerical models to make fundamental advances to existing literature. Duties will include but are not limited to: Helping develop novel
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manipulation, ggplot2, regression and Bayesian modeling, R Markdown, Shiny, and GitHub). Master’s degree in biological sciences (e.g., ecology, wildlife biology) or equivalent education and experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel
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the requirement to attend numerous on-campus work events and on-site meetings for collaboration and team effectiveness. Unless collaborating at a research program site, the incumbent will be based in the NSRI
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
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, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery