119 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at NIST
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and the improvement of measurement science to reduce uncertainties associated with the power rating....
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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detection system. We are working on combining this technology with state-of-the-art microfluidics. The systems of interest include but are not limited to electrochemical electrified interfaces, double layers
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in
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measurement platforms using present and next generation electron microscopes. If you are a creative individual and can imagine what “can be” given the data richness of our program, we invite you to apply and
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Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with energies determined by molecular composition, structure, and vibrational mode type. Various optical...
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substances in a wide pressure and temperature ranges). We also possess significant computational resources necessary for successful implementation of molecular simulations and machine learning methods