221 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "BioData" uni jobs at NIST
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advance our ability to accurately predict increasingly complex burning scenarios (e.g., varied sample/product configuration and scale). Further details of the project are available online: https
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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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, with raw data accessible from a CDCS database hosted at https://potentials.nist.gov/ . Calculation methods will be integrated into the iprPy calculation framework [1], with source code available
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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jason.widegren@nist.gov 303.497.5207 Description https://www.nist.gov/programs-projects/electric-acoustic-spectroscopy-intermolecular-interactions-solution#OnChip NIST’s Material Measurement Laboratory (MML) and
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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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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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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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NASA's ER-2 aircraft, which fly at an altitude of 21 km above sea level. These data will serve as tie points for new and existing models of the lunar spectral irradiance. Links: Air-LUSI -- https
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new measurement capabilities, standards, or applications or improve existing methods for reference artifact calibration. For more information, see https://www.nist.gov/pml/sensor-science/dimensional