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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Wireless Communication Systems Testing Location Communications Technology Laboratory, Radio Frequency
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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 Efficient, Smart, and Reliable HVAC&R Equipment Location Engineering Laboratory, Energy and Environment Division
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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NIST only participates in the February and August reviews. The Applied Economics Office (AEO) at NIST works closely with the NIST Community Resilience Program (CRP) and external collaborators
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of materials science and engineering. The successful applicant would work with a team of experts including experimental materials scientists, computational materials scientists, machine learning experts
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RAP opportunity at National Institute of Standards and Technology NIST Fatigue and Fracture of Metallic Materials Processed via Additive Manufacturing Location Material Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling of Magnetic Systems Location Information Technology Laboratory, Applied and Computational Mathematics
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RAP opportunity at National Institute of Standards and Technology NIST Creating Computational Techniques to Investigate the Ensemble Structures of Flexible Proteins In Combination with Neutron
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a