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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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also difficult; currently available wavefunction diagnostics are not yet reliable for this purpose and partition functions include uncontrolled approximations. key words Ab initio; Computational
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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RAP opportunity at National Institute of Standards and Technology NIST Improving Sorting of Polyolefins for the Circular Economy Location Material Measurement Laboratory, Materials Science and Engineering Division opportunity location 50.64.21.C0942 Gaithersburg, MD NIST only participates in...
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NIST only participates in the February and August reviews. The design and operation of sustainable buildings face multiple challenges to meet energy efficiency, indoor air quality and other potentially competing performance goals. Achieving these goals requires the development and application of...
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, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
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provides computational resources and has an interest group for AI that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists. Smart
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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measurement to support a DARPA program on “Tailorable Composite Feedstock and Forming”. This project will involve dc to 110 GHz complex permittivity and permeability characterization with on-wafer techniques
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an integrated web-portal. A successful applicant will have extensive skills in data informatics and programming. Some of the programming skills required include web-based markup languages, experience with SQL