261 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at NIST
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/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently focusing on
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economic valuation. Development of infrastructure system metrics to aid in the prioritization of investments. See https://www.nist.gov/services-resources/software/nist-arc-nist-alternatives-resilient
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reviews. Advisers name email phone Vladimir Diky [email protected] 303.497.4124 Description The widespread use of aqueous chemical models, incorporated into computer codes, for both pure and
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Develop extremely high sensitivity, multi-species measurement capability with cavity enhancement Explore quantum methods to improve sensitivity of DCS References: https://www.nist.gov/programs-projects
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Development of Heterogeneous Photonic Integrated Circuits at sub-micron wavelengths Location
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@nist.gov 970.556.3133 Dustin Glen Poppendieck [email protected] 301.975.8423 Description This program is designed to provide the measurement science to support the development of industry
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for Metabolomics Location Material Measurement Laboratory
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Bluesky experiment orchestration package, and knowledge of beamline controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this
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github.com/usnistgov/ThreeBodyTB.jl), cluster expansion, classical potential development, and machine learning. In addition to work on specific problems, I work on developing new first principles-based