349 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at NIST
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sample preparation, mass spectrometry, and software development are encouraged to apply as well as an interest in forensics and measurement quality assurance. key words forensics; proteomics; mass
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physical sensing, quantum science, communications, and dynamic spectroscopy. We have developed novel approaches to comb generation [1], spectral translation [2], and their use to interrogate cavity
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quality (p, ρ, T) measurements from 200 – 505 K, with pressures to 40 MPa. The speed of sound is a property that yields very powerful data for developing fluid equations of state (EOS), and we have two
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NIST only participates in the February and August reviews. Research focuses on hydrodynamic simulations and development of probabilistic methods for (1) characterization of hurricane storm surge and
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to the sub-nanometer scale regime. Our goal is to leverage our access to state-of-art X-ray and neutron facilities to develop and apply operando measurement methods that can quantify full three-dimensional
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their processes. Smart machine tools assess and predict their health and the performance of their processes in real time to optimize production quality and yield. Proposals are welcome to develop
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microfluidic networks.Our goal is to develop systems that enable accurate, high-throughput, and dynamic measurement of materials in flow, which will, for example, improve the ability to specify composition and
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devices, coatings, food-related materials, and personal care. Work emphasizes the development of analytical methods for quantitative measurement of engineered nanoparticle properties, including bulk and
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Description Euv lithography has become a primary manufacturing tool for the semiconductor industry, but new challenges in the development and characterization of EUV resists have emerged as the technology
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on the development and application of high-resolution measurement methods to study fundamental problems with broad industrial impact in areas such as the service life prediction of polymeric materials. Recent projects