370 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Label-free Optical Medical Imaging Location Physical Measurement Laboratory, Applied Physics Division opportunity location
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RAP opportunity at National Institute of Standards and Technology NIST Intrinsic Force Standards Based on Atomic and Molecular Interactions Location Physical Measurement Laboratory, Quantum
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RAP opportunity at National Institute of Standards and Technology NIST High-Accuracy Measurements on Complex Mixtures with NMR Spectroscopy: Applications to Refrigeration, Forensic Science
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RAP opportunity at National Institute of Standards and Technology NIST Atomic-Resolution Chemical Imaging of Individual Nanostructures in an Aberration-Corrected STEM/TEM Location Material
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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