163 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at NIST
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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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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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are developing object-oriented computational tools for the analysis of materials with complex microstructures. Starting from a digitized micrograph, the program identifies features in the image, assigns material
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. This computational approach, incorporating quantum mechanics, can help materials research by a) directly simulating and interpreting experiments, b) establishing relationships between material structure and properties
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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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computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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Physics Letters 580: 120, 2013 Nanoporous materials; CO2 capture; Gas adsorption; Metal-organic frameworks; DFT; Theory and modeling; Computational thermodynamics;
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-and-quality-control-materials-metqual-program key words Metabolites; Metabolic pathways; Mass spectrometry; Bioinformatics; Chemometrics; Multivariate statistics; Human health; Precision medicine