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quantum computing. Their dimensions range from a few to several hundred nanometers. There is special interest in color centers in nanodiamonds, which give them unique photonic and spin characteristics
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driven flows; Combustion; Computational fluid dynamics; Fire modeling; Heat transfer; Large eddy simulation; Numerical combustion; Thermal radiation; Turbulent flows; Eligibility citizenship Open to U.S
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-enhanced laser-based methods, optical spectroscopies (infrared, visible, ultraviolet, Raman, light scattering), gas chromatography/mass spectroscopy (GC/MS), high-performance liquid chromatography (HPLC
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of LC-MS patterns of biological fluids. Previous knowledge and experience of a high-level programming language--preferably C++, Python, or Java and of pattern recognition techniques--to draw statistically
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or algorithms for detection of the drug signal in complex mass spectral data and chemometrics for identification or classification of drug(s) is also of high interest.Through this opportunity, collaboration with
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of interatomic potential. This research will focus on performing high throughput calculations to explore dynamic property predictions across interatomic potentials, temperatures, and atomic configurations
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigation of Carbon Capture Materials Location NIST Center for Neutron Research opportunity location
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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experimentally. However, important challenges remain, such as transition-metal compounds and floppy or tautomerizing molecules. Determining the quantitative uncertainties associated with high-level predictions is
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ferroelectrics, thermoelectrics, and nanomaterials. Computational modeling approaches include high-throughput computation (see jarvis.nist.gov), predictive tight-binding analysis (see github.com/usnistgov