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accurate measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and
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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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NIST only participates in the February and August reviews. The Community Resilience Program (https://www.nist.gov/community-resilience ) is developing science-based tools to assess resilience and
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spectrometry instrumentation has been pushed to the limits of mass detection to spectral resolutions over 100,000, allowing for specific mass determination and unknown compound identification. Analytical methods
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NIST only participates in the February and August reviews. This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary
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are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
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protocols. Additionally, reliable performance is critical and we are interested in developing (1) methods to prepare highly reproducible MEMS and NEMS device platforms, sensing materials, biomolecular
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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of the instrument fail or are attacked by an adversary. We would like to address the safety concerns by researching a metrology for establishing digital references [2], safety zones (boundaries), validation methods
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natural- and engineered-wood-products. These calibration measurements, analysis tools, resulting material property sets, and comparisons of experimental measurements and numerical simulations of full-scale