176 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at NIST
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...
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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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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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-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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MultiPhysics Measurements and Modeling for Microelectronics at Microwave and mm-Wave Frequencies NIST only participates in the February and August reviews. Performance, security, and reliability of microelectronics systems are critical issues for the continued robust growth of the US economy....
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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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circuit design and the signal-chain engineering. We will focus on an in-depth analysis of the correlations between the design of the charge circuit and the resulting level of noise and charge sensing
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using them to demonstrate new applications in quantum information science. We have used radio-frequency interferometry to achieve ultra-sensitive high-speed single-photon detection [Applied Physics
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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