225 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at NIST
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," Optica 12, 585-593 (2025), https://doi.org/10.1364/OPTICA.554862 A. Boes, M. Strain, L. Chang, and N. Nader; "Hybrid and heterogeneous integration in photonics: From physics to device applications." Appl
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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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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 Computational Electromagnetics Location Information Technology Laboratory, Applied and Computational Mathematics Division
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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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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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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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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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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Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support community resilience planning [1, 2, 4]. The goal of NIST ARC is to