85 parallel "Computer Vision Center" "Computer Vision Center" "Computer Vision Center" positions at NIST
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Integrated Color Center Devices Location Physical Measurement Laboratory, Nanoscale Device
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. Keywords Image processing; Machine learning, Computer vision; Statistical methods; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level
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[email protected] 301.975.5424 Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale
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Investigation. November 14, 2019. DOI Keywords Artificial Intelligence; Computer Vision; Confidence Estimation; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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on near-term quantum computing devices. Research will be conducted in cooperation with the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland. Keywords
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST New Insights into Shear-Induced Effects in Complex Fluids Location NIST Center for Neutron
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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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Research Advances 5 (2020) 2717-2725. Keywords Atomistic modeling; Color centers in nano-diamonds, Graphene; Multiscale Green’s functions; NV center in diamond; Phosphorene; Quantum computer
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that are stored at our mass spectrometry data center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure and dynamics characterization