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that are all highly polar and associating. Therefore, biofuels present an enormous challenge for property science. Their successful implementation demands accurate property data for actual fuel mixtures, which
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-throughput data acquisition; time and frequency domain measurements; semiconductor industry; micro- and nano- electromechanical devices; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral
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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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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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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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designs. In addition to fabrication and characterization of these measurement tools, we also develop new readout schemes, signal and data processing, control systems, and biomimetic surfaces to improve
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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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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample