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evan.groopman@nist.gov 301 975 2139 Description Nuclear Safeguards is a process by which States’ nuclear activities are verified to conform to their international commitments. One aspect of Nuclear Safeguards is
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impediments to meeting the desired manufacturing and performance standards. Digital twins (DT) are being adopted in the AM industry to optimize the entire manufacturing process and enable products with high
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and novel data-processing tools need to be developed to embrace these new techniques and further elevate their capabilities. Instrumentation available for this research includes ion trap, Orbitrap, and
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in various research activities related to computing and information technology. Specific areas of interest include intelligent medical devices; signal/data collection and processing from various
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color centers for novel quantum sensing and information processing applications at the single photon level. Applicants should have experience in one or more of the following areas: nanofabrication
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. Furthermore, there is a need to understand how EUV resists may interface with other processing approaches such as block copolymer lithography. This project will utilize chemically sensitive scattering tools
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, toxicology, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Toxicology; Statistics; Mass Spectrometry; Drugs; Chemometrics; Analytical Chemistry Eligibility
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particle dynamics (CFPD), a fluid-particulate coupled algorithm, to (i) quantify breath device operation (i.e., species deposition, complex fluid flow) [1], (ii) guide experimental breath species collection
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Semiconductor manufacturing is a complex procedure with challenging variations in machines and processes. For example, due to high-mix semiconductor manufacturing, in which hundreds of types of products
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sensors for measurements before and during manufacturing processes, analyze the data with a fusion of metrological approaches and machine learning, and monitor and predict the performance of machines and