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of Computational Materials Engineering (ICME) in an AI platform for industrial AM production. This research philosophy relies on a dual approach: Data Informatics & Analytics: Leading investigations into the root
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RAP opportunity at National Institute of Standards and Technology NIST Computational Electromagnetics Location Information Technology Laboratory, Applied and Computational Mathematics Division
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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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Physics Letters 580: 120, 2013 Nanoporous materials; CO2 capture; Gas adsorption; Metal-organic frameworks; DFT; Theory and modeling; Computational thermodynamics;
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RAP opportunity at National Institute of Standards and Technology NIST Interface Engineering: Using Surface Chemistry to Impart Desired Properties Location Physical Measurement Laboratory
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gas emissions. References Wright JD, Johnson AN: NCSL International Measure 5: 30, 2010 Johnson AN, et al: ASME Journal of Fluids Engineering 128: 170, 2006 Gas and liquid flow measurement; Wind speed
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addition, the emerging "materials by design" paradigm places emphasis on the use the computation for the development and design of new materials. Candidates with an interest and background in computational
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RAP opportunity at National Institute of Standards and Technology NIST Engineering Enzymes for the Biomanufacture of Nucleoside Conjugates Location Material Measurement Laboratory, Biomolecular
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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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RAP opportunity at National Institute of Standards and Technology NIST Computational Fluid Dynamics & Quantum Algorithms (Multiphase Systems) Location Material Measurement Laboratory, Applied