79 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at NIST
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approaches to measure, understand, predict, and control information, learning, function, and evolution across the spatial and temporal scales of biological organization, although related ideas in other topics
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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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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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disseminating sorbent material property data and measurement "best practices." Specific research activities include utilization of state-of-the-art techniques and establishing protocols for measuring reliable
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bioanalytical chemistry, and bioinformatic data analysis. We invite applicants from diverse backgrounds, and successful applicants should expect to collaborate closely across an interdisciplinary team. Microbiome
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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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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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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
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capabilities for characterizing nanoparticles at the single-particle level. There will also be opportunities for interested candidates to develop advanced data processing techniques. microscopy; light scattering