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research to advance rational design for engineering biology. Of particular interest is the development of new approaches to measure, understand, predict, and control information, learning, function, and
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing
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information. Our group performs research and development to extend the accuracy, wavelength range, power range, robustness, and portability of radiometric standards. We use advanced nanfabrication techniques
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dynamics prediction in various environments. key words Molecular dynamics simulations; Parallel algorithms; Spatial data structures; Bioinformatics; Eligibility citizenship Open to U.S. citizens level Open
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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with data and image processing (MATLAB experience preferable). key words Additive manufacturing
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new measurement capabilities, standards, or applications or improve existing methods for reference artifact calibration. For more information, see https://www.nist.gov/pml/sensor-science/dimensional
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, pixelated detection system. Taking full advantage of this cutting edge technology will require the development of new methods for collecting, processing, and interpreting the large amounts of data we now have
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support