1,027 web-programmer-developer-"https:"-"UCL"-"CEA-Saclay"-"https:" Postdoctoral positions in United States
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various disease models including Parkinson’s model and chronic pain model. Develops and applies assays for drug discovery for glutamate receptors, including in vitro assay as well as cell-free assay and in
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can
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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 to support
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 15 hours ago
applications to our society. We prepare graduate students for professional careers and/or further graduate study. By involving undergraduate and graduate students in research, we increase society’s knowledge
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, and analyze chemical biology experiments aimed at characterizing DNA-protein interactions and developing chemical probes for studying protein-ligand interactions. This position offers an excellent
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join an R&D team conducting use-inspired research supporting the development of molten salt technologies
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academic institutions. Our mission is to develop and execute a state-of-the-art 3D Heterogenous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities
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research, analyze data, and contribute to scholarly publications. You'll also prepare and present research findings, develop grant proposals, and mentor student researchers. Additionally, you'll have the
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on developing machine-learning surrogates for electronic structure and electrostatic potential and using these models to predict structural and electronic evolution under applied bias. Methods may include density