355 web-developer "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at NIST
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. At NIST, we use large-geometry SIMS instruments to develop new particle analysis methods, improve analytical accuracy and reproducibility, and collaboratively develop new microparticle reference materials
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work is anticipated in the areas of microresonator design, engineering biology/biomanufacturing, dioxygen imaging in 3D cell culture, and structural biology methods development. Knowledge of microwave
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. Opportunities exist for (1) the development of simple yet accurate modeling approaches that enable rapid collapse analysis of large structural systems, (2) comparison and quantification of the progressive
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) to develop new imaging and metrological capabilities for studying nanoscale electronic properties. In particular, we are interested in combining time-resolved optical techniques with our microwave methods
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Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1]. Artificial intelligence and machine learning hold
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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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@nist.gov 301.975.4127 Description This research is centered on the development and application of analytical methods to the characterization of nanomaterials. Opportunities exist to study the composition
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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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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