416 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Materials for Quantum Information Applications Location Physical Measurement Laboratory, Applied Physics Division
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of the uncertainties encountered in the physical experiments. These computational methods have been applied to nanorheology in photopolymerization 3D printing [1], human breath research for forensic and clinical data
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species over another. Density functional theory (DFT) calculations assist in the rational design of new materials by providing quantitative results on the stability of the framework and the binding energies
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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 Infrared Technology Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51.B7540
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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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RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement Laboratory, Applied Chemicals and
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) Computational chemistry (electronic structure calculations) and dynamics of single molecules, particularly, fluorescent interface probes; (3) Modeling of filler dispersion, water sorption and interphase
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Chemistry of Nanomaterials Location Material Measurement Laboratory, Chemical Sciences Division opportunity
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of materials science and engineering. The successful applicant would work with a team of experts including experimental materials scientists, computational materials scientists, machine learning experts