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Field
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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We are seeking a motivated and skilled in vivo Research Assistant to join the group of Professor Richard Gilbertson at the Cancer Research UK Cambridge Institute. The Gilbertson lab is dedicated
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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tech university spinouts. The postdoc position is part of the UNIVERSE (UNIVersity Ecosystems’ Role in & Support for Entrepreneurship) initiative, and will contribute to a growing body of research at DTU
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in
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of Geosciences performing computationally intensive geodynamic models of the plate boundary system in the western United States. The Postdoctoral Associate will investigate the dynamics of the southwest
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, physical chemistry, materials chemistry, and biochemistry. The Thielges lab at Indiana University is seeking to hire a Postdoctoral Scholar with a strong interest in the molecular biophysics of protein
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact