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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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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Computational Optical Imaging Methods Location Physical Measurement Laboratory, Sensor Science Division
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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Research." Metabolites 9(7). 3 - https://doi.org/10.6028/NIST.IR.8451 Researchers: Aaron Urbas (aaron.urbas@nist.gov ), Sandra Da Silva (sandra.dasilva@nist.gov ), Ben Place (benjamin.place@nist.gov ) and
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on developing predictive tools for ceramic AM by combining computational and experimental approaches to study fundamental material processes during direct-ink writing and post-processing of ceramic parts. We
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mass spectrometry; and advanced chemometric tools for the analysis, interpretation, and comparison of complex metabolomic data sets. https://www.nist.gov/programs-projects/metabolomics-quality-assurance
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measurements at 18-digit accuracy using an optical clock network. Nature 591, 564–569 (2021). https://doi.org/10.1038/s41586-021-03253-4 [2] Chave, A. D. (2019). A multitaper spectral estimator for time-series
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2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigation of Carbon Capture Materials Location NIST Center for Neutron Research opportunity location