491 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:" Fellowship positions in United States
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Details Title Program on U.S.-Japan Relations Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Program on U.S.-Japan Relations (Weatherhead) Position Description The Program
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Details Title Postdoctoral Fellow in Marine Molluscan Phylogeny and Venom Evolution School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description
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developing and applying process-based simulation models, especially dynamic food web models and bioenergetic models. Experience in multi-disciplinary teams, including other natural sciences, social scientists
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Details Title Postdoctoral Fellow – Electrochemical Biosensor Development - Immediate Need: Start ASAP School Wyss Institute for Biologically Inspired Engineering Department/Area Position
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 9 hours ago
): The objective of the project is to develop a web-based application that will facilitate biocompatibility evaluation of medical devices by streamlining extractable studies. We will use mass spectrometry
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Posting Details Posting Details Posting Number F01043P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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persuasion Building user-facing tools or running interventions at scale AI safety research (especially related to deception, manipulation, or evaluation) Computational text analysis, web development
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professional within his/her institution as well as the broader community of museums, and to understand current museum issues. To learn to function within the organizational structure of a museum and to develop a
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Research Fellowship (PRF) for PhD CS Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Computer Science
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of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative