223 parallel-and-distributed-computing-"Meta"-"Meta" uni jobs at NIST in United States
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RAP opportunity at National Institute of Standards and Technology NIST Chemical and Structural Spatial Distribution of Biofilms Location Material Measurement Laboratory, Biosystems and
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RAP opportunity at National Institute of Standards and Technology NIST Computational Electromagnetics Location Information Technology Laboratory, Applied and Computational Mathematics Division
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these complex communities by developing sample preparation techniques that are compatible with NMR and mass spectrometry-based techniques. This will allow parallel multimodal analysis including proteomic
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addition, the emerging "materials by design" paradigm places emphasis on the use the computation for the development and design of new materials. Candidates with an interest and background in computational
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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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browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
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distributions both inside and outside the nanotube surface, examination of the specific effects of chemical structure on the adsorption of molecules to the nanotube surface and its effect on solubility, and
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-quantum cryptography; quantum random number generation (QRNG) and quantum key distribution (QKD); position-based cryptography; and cryptography based on near-term quantum computing devices. Research will be
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characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements