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Field
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allows the Postdoc to pursue research as a vital component of his/her educational mission and professional career development. Works under minimal supervision with some latitude in the use of initiative
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with undergraduates, graduate students, postdocs, and professors in the two labs. Candidates with geoanalytical experience, including backgrounds in either cosmogenic nuclide geochemistry or XRF
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in metal additive manufacturing using laser powder bed fusion and/or electron beam melting and/or powder processes, such as hot isostatic pressing, cold compaction. CAD experience (preferably
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in collaboration with colleagues and their students/postdoc at the Ohio State University (Dr. Jill Leonard-Pingel), the University of California Berkeley (Dr. Seth Finnegan), and the Smithsonian
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structural engineering or mechanical engineering, received no later than 6 years before the initial appointment. Strong expertise in programming for approaches including, computational mechanics, finite
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into addressable microstructures, exploiting the principles of crisscross assembly innovated in our lab. In addition to carrying out research, the successful candidate will be expected to apply for fellowship
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 days ago
(""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and