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parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in detail, in order to determine relevant chemical
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large numbers of samples in massively parallel, low-cost analysis systems that do not rely on optical or aptamer-based labels. Before such systems can be realized, the electromagnetic response of
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informed by and feed into parallel work in macroscale thermomechanical finite element modeling, CALPHAD-based thermodynamics, and crystal plasticity and to both powder-scale and atomic-scale simulations
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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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/) 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
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assist reviewers in their assessment of scientific manuscripts, which is in extremely high demand now. Thermodynamics Research Center (TRC) at NIST collects, stores, and evaluates published experimental