197 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions in United States
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learning to mentor and train other lab members Ability to think independently and the initiative to follow new ideas Motivation to pursue career development opportunities (e.g. applying for fellowships and
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developing research on proteins, especially plant proteins. The position requires decision making, problem solving, and method development skills on protein extraction optimization, fractionation, purification
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of our research is to contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
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components, including requirements for the proposed research plan, visit https://orise.orau.gov/marine-energy-research-program . Point of Contact Alexa Eligibility Requirements Citizenship: LPR or U.S. Citizen
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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professional references will be requested during the application review stage. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites