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NIST only participates in the February and August reviews. Grating-based magneto-optical traps (MOTs) have recently opened up a new path toward miniaturization of cold-atom technologies. In particular, grating MOTs of diverse species like Li, Sr, or even molecules offer paths toward making new...
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individuals with backgrounds across the chemical, mathematical, epidemiological, and statistical science disciplines. key words Public Health; Opioids; Monitoring; Mass Spectrometry; Optical Spectroscopy; Drugs
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RAP opportunity at National Institute of Standards and Technology NIST Immersive Visualization Location Information Technology Laboratory, Applied and Computational Mathematics Division
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RAP opportunity at National Institute of Standards and Technology NIST Developing bioanalytical foundations for analysis in non-model systems Location Material Measurement Laboratory, Chemical Sciences Division opportunity location 50.64.63.C0272 Charleston, SC NIST only participates in the...
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RAP opportunity at National Institute of Standards and Technology NIST Computational Electromagnetics Location Information Technology Laboratory, Applied and Computational Mathematics Division
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Development of Nuclear Analytical Imaging Techniques for Materials Analysis with Spatial and Spectral Specificity NIST only participates in the February and August reviews. The objective of this research is to develop new measurement capabilities for nuclear analytical techniques associated with...
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concepts. This research opportunity is concerned with expanding the knowledge base for cryptography in a quantum era. The focus will be on mathematics and theory. Particular topics of interest include: post
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Computational Mathematics Division opportunity location 50.77.11.B7430 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Vladimir V Marbukh marbukh@nist.gov
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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; Decision Making; Engineering; Infrastructure systems; Social systems; Metrics; Systems modeling; Social Science; Operations research; Mathematical programming; Optimization; Systems analysis; Risk analysis