285 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at NIST in United States
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polyorganophosphazenes and their single-chain complexes with proteins. Commun. Mater. 5, 36 (2024). polyelectrolytes; protein; complex coacervation; polymer physics; polymer solutions; polymer gel;
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of structural responses. References Wong KKF, Speicher MS: “Improved Method for the Calculation of Plastic Rotation of Moment-Resisting Framed Structures for Nonlinear Static and Dynamic Analysis”. Computational
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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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Developing Advanced Neutron Reflectometry Techniques to Study Membrane-Associated Proteins NIST only participates in the February and August reviews. At the NIST Center for Neutron Research, neutron scattering is routinely used to study solutions and surface adsorption of biomacromolecules....
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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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part of a research recommendation engine to guide researchers in the lab. The algorithms integrate machine learning, solid state physics, on-the-fly physical experiments, on-the-fly simulations
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in
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real-life applications • Time-resolved measurements of material performance and degradation under operational conditions • Application of reliability physics concepts to predict material
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RAP opportunity at National Institute of Standards and Technology NIST Nanomagnetism-Dynamics Location Physical Measurement Laboratory, Nanoscale Device Characterization Division opportunity
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, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind