271 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at NIST in United States
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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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Physics Letters 580: 120, 2013 Nanoporous materials; CO2 capture; Gas adsorption; Metal-organic frameworks; DFT; Theory and modeling; Computational thermodynamics;
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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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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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research in high-impact science and engineering fields that utilize vapors, liquids, and aerosols. Our experimental scientists focus on developing fundamental measurements and novel methodologies that can
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RAP opportunity at National Institute of Standards and Technology NIST Advanced computational modeling techniques to enable fast screening of RNA biopharmaceutical products Location Material
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation of hormones in biological matrices. Hormones are essential for major developmental and reproductive...
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigations of Molecular Interface Formation from the Perspective of Cosolvent Preferential Interactions