220 computer-programmer-"https:"-"UCL" "https:" "https:" "Computer Vision Center" positions at NIST
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, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
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301.975.6050 Jan Obrzut jan.obrzut@nist.gov 301.975.6845 Description As part of a collaborative NIST-wide program involving structural characterization, modeling, and high-throughput microwave measurement, we
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transitions. Many x-ray lines and satellites remain to be experimentally verified, in comparison with theory. We have a program to carry out these investigations using TES microcalorimeter detectors with 5 eV
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with
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843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through analytical methods
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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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 critical for attaining measurement quality objectives and meeting the needs of the health and medical community. The isotope metallomics program at NIST focuses on analytical method development, rapid
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of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
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, and Future Opportunities, Ann. Rev. Mater. Res. 49, 275-295 (2019). https://doi.org/10.1146/annurev-matsci-070218-010041 . 2. C. Wang, W. Ping, Q. Bai, H. Cui, R. Hensleigh, R. Wang, A.H. Brozena, Z