189 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at NIST
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. An open resource for accurately benchmarking small variant and reference calls. Nature Biotechnology 2019, 37, 561. Artificial intelligence; Machine learning; Data science; Genomics; Sequencing; Precision
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Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with
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NIST only participates in the February and August reviews. A Bose-Einstein condensate (BEC) of a dilute gas is a unique quantum system with many atoms occupying the same quantum state of both
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-adoption, etc). A successful applicant would have the opportunity to lead research workstreams, write papers, and engage with AI and measurement science experts from across CAISI and NIST. The artificial
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the synthesis-process-structure-property relationship for quantum solid state materials. References: Liang, et al., 2025. Real-time experiment-theory closed-loop interaction for autonomous materials science
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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
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Metrology for Quasi-Optical Wireless Probing of Monolithic Microwave Integrated Circuits NIST only participates in the February and August reviews. Ultrafast electronic devices with fundamental operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio...
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characterization, microstructural analysis, modeling, and/or data science to reach out and apply, as a variety of perspectives will be invaluable in advancing our understanding of material behavior and design. We
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NIST only participates in the February and August reviews. The chemical characterization of biomolecules and the measurement of their interactions at low copy numbers are critical for applications in biomanufacturing and personalized medicine. We are developing new electronics techniques that...
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address