225 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at NIST
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RAP opportunity at National Institute of Standards and Technology NIST EUV Computational Imaging for Nanostructure Characterization Location Physical Measurement Laboratory, Nanoscale Device
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Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
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RAP opportunity at National Institute of Standards and Technology NIST Computational Fluid Dynamics & Quantum Algorithms (Multiphase Systems) Location Material Measurement Laboratory, Applied
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and related vulnerabilities. The research would involve applying tools and techniques from mathematical logic and software science to these challenging problems in software security and safety. Program
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RAP opportunity at National Institute of Standards and Technology NIST Neuromorphic Computing and Artificial Intelligence Hardware Location Physical Measurement Laboratory, Quantum
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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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quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects/greenhouse-gas-and-atmospheric-trace-gas-measurements Cossel, K. C., Waxman, E. M., Giorgetta, F. R., Cermak
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adoption of this manufacturing technology—especially for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring
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computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
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. This computational approach, incorporating quantum mechanics, can help materials research by a) directly simulating and interpreting experiments, b) establishing relationships between material structure and properties