436 computer-science-programming-languages-"St"-"University-of-St"-"FEMTO-ST"-"ST" positions at NIST
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generation DNA sequencing; evaluation and testing ontologies for describing and organizing biological and medical information; and languages for capturing bio-informatics analyses and computational processes
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) Computational chemistry (electronic structure calculations) and dynamics of single molecules, particularly, fluorescent interface probes; (3) Modeling of filler dispersion, water sorption and interphase
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Chemistry of Nanomaterials Location Material Measurement Laboratory, Chemical Sciences Division opportunity
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a
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RAP opportunity at National Institute of Standards and Technology NIST Catching Crooks with Chemistry Location Material Measurement Laboratory, Chemical Sciences Division opportunity location
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are encouraged to submit research proposals on the following topics: DFT and MD for computational dielectric spectroscopy Properties of electrochemical double layer (effects on the local polarization, structure
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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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RAP opportunity at National Institute of Standards and Technology NIST (S)TEM Characterization of Superconducting Materials for Quantum Computing Location Physical Measurement Laboratory
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research program focuses on engineering these nanoparticles with desired physical and chemical properties and specified functionality through wet-chemistry synthesis. We are particularly interested in
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of materials science and engineering. The successful applicant would work with a team of experts including experimental materials scientists, computational materials scientists, machine learning experts