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FEM technique to quantitatively characterize amorphous materials, with high spatial and temporal resolution. • You will be part of a team performing experiments to lead the discovery of key physical
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designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer
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Posted on Mon, 12/16/2024 - 12:51 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lo, Nathan Stanford Departments and Centers: Med: Infectious Diseases Postdoc Appointment Term
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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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components. Perform laboratory experiments on fluid/thermal components, Publish papers in heat and mass transfer and energy journals. . Basic Qualifications Must be a recent PhD graduate within the last three
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hours. Evening and weekend work may be required. Position is required to drive. Occasional travel may be required. Working with high stress situations. Work performed in indoor and outdoor environments
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
universities in 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
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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Postdoctoral Fellowship Program, and ongoing support for Carnegie Bosch Chaired Professorships. Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high
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in presentations. Preferred Qualifications: Experience designing and implementing custom hardware acceleration solutions on FPGAs for the purpose of high-performance computing, real-time data analysis