410 engineering-computation "https:" "https:" "https:" "https:" "INESC TEC" positions at NIST
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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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to different atomic states. Complementary to these approaches, the project aims to engineer a CoBRAS in a deployable package which can serve as a drop-in replacement for conventional thermometer architectures
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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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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 Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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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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methods which are critical to ensuring structural performance. For more information please visit our website at http://www.nist.gov/mml/infr.cfm/ . Materials; Alternative energy; Fracture; Mechanics
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Computational Methods for NMR Structural Biology and Biomanufacturing of Protein and Live Cell Therapeutics NIST only participates in the February and August reviews. Protein therapeutics
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(2022). https://doi.org/10.1007/s11669-022-01011-1
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Riboswitch Folding: A High-Pressure Single-Molecule Kinetic Study”, J. Phys. Chem. B, (2022) https://doi-org.colorado.idm.oclc.org/10.1021/acs.jpcb.2c06579. H-L Sung and D. J. Nesbitt, “Synergism in