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, analysis (liquid and/or gas chromatograph-mass spectroscopy Fire Research 1. developing, using, and deploying multiscale fire testing and computational tools to reduce the fire hazard of building content
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability behavior (e.g., ignition, burning rate, fire growth). Such predictions require accurate and efficient...
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computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
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RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid Annotation, and Functional Pathway Elucidation Location Material Measurement Laboratory, Chemical Sciences Division opportunity...
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world-class, unique controls and measurement capabilities, and flexibility to incorporate new research instrumentation and ideas. Further, our measurement facilities include X-ray computed tomography
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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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RAP opportunity at National Institute of Standards and Technology NIST Johnson Noise Thermometry with Superconductive Waveform Synthesizers Location Physical Measurement Laboratory, Quantum Electromagnetics Division opportunity location 50.68.72.B8411 Boulder, CO NIST only participates in...
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for achieving recovery-based objectives, (3) computing the collapse risk of new and existing buildings and infrastructure systems, (3) developing improved nonlinear modeling capabilities to evaluate the response
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computational software. The combination of this effort, with both its experimental and theoretical sections, with the complementary CW Terahertz Spectroscopy effort described elsewhere, greatly increases our
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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