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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
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characterization, microstructural analysis, modeling, and/or data science to reach out and apply, as a variety of perspectives will be invaluable in advancing our understanding of material behavior and design. We
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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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) Computational chemistry (electronic structure calculations) and dynamics of single molecules, particularly, fluorescent interface probes; (3) Modeling of filler dispersion, water sorption and interphase
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RAP opportunity at National Institute of Standards and Technology NIST (S)TEM Characterization of Superconducting Materials for Quantum Computing Location Physical Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Channel Sounding and Radio Frequency Propagation Location Communications Technology Laboratory, Radio Frequency Technology
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research program focuses on engineering these nanoparticles with desired physical and chemical properties and specified functionality through wet-chemistry synthesis. We are particularly interested in
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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 Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
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simulation; Interface; Coarse-grain; Thermodynamics; Computational chemistry; Nanotechnology; Statistical mechanics; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend