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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoc in urban stormwater pond dynamics We are seeking a postdoctoral
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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receptor signaling. Our lab uses a variety of biophysical techniques to characterize protein structure and dynamics in these studies, notably continuous-wave and pulsed EPR methods such as DEER spectroscopy
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mentorship and growth of postdocs. The selected candidate will join a highly collaborative team of faculty and researchers within CEE’s Materials Innovation Studio, the Civil Infrastructure Testing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
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 research
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a dynamic and collaborative team, you will: Compare and refine vaccine candidates in collaboration with structural biologists and bioinformaticians Evaluate vaccine-induced immunity in vivo, focusing
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design, separations science and technology, energy engineering, or a related field (for postdoc). Hands-on experience with the design, construction, and operation of pilot-scale equipment, particularly
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-balanced life. A dynamic environment promotes connections and camaraderie among postdocs from all backgrounds. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital
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to recognize and invest in talent. A Sense of Community: St. Jude fosters a vibrant postdoc community that supports a well-balanced life. A dynamic environment promotes connections and camaraderie among postdocs
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as