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possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct towards co
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Program in Agrarian Studies, Yale University Postdoctoral Associates for 2025-2026 The Agrarian Studies Program will appoint three postdoctoral associates for the 2025-2026 academic year, chosen
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The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment The Postdoctoral Appointee functions under
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct towards co
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the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members
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of Medical Sciences, and with neighboring Sloan Kettering Institute and The Rockefeller University has established a joint MD-PhD program for students to intensify their pursuit of Weill Cornell's triple
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flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits
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) to promote nitrogen BMPs and sound nitrogen management in crop production - Secure external funding for research and outreach as relevant Job Duties/Time Distribution: (70%) Analyze current data sets related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
thorough understanding of common statistical tests and distributions. * Be able to collaborate with experimental and computational team members. * Be comfortable maintaining datasets, as well as displaying