193 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at NIST
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Computational Methods for NMR Structural Biology and Biomanufacturing of Protein and Live Cell Therapeutics NIST only participates in the February and August reviews. Protein therapeutics
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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are encouraged to submit research proposals on the following topics: DFT and MD for computational dielectric spectroscopy Properties of electrochemical double layer (effects on the local polarization, structure
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types. Furthermore, since SDD/EDS is an experimentally simpler technique than EPMA/WDS and more people own the necessary equipment, there are many opportunities to help the industrial, forensic and
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NIST only participates in the February and August reviews. NIST has recently launched a program to develop high accuracy 3D thermal imaging and control using thermosensitive magnetic nano-objects
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Computational Optical Imaging Methods Location Physical Measurement Laboratory, Sensor Science Division
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. Advisers name email phone Yamil Simon ysimon@nist.gov 301.975.8638 Description NIST has long developed and provided reference materials to assist others in making reliable measurements. The NIST Standard
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigation of Carbon Capture Materials Location NIST Center for Neutron Research opportunity location
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Description The Communications Technology Laboratories (CTL) at NIST is looking for a research assistant to work developing mm-wave components from complex oxides. This project will involve dc to 110 GHz
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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