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for evaluating AI systems, including executing evaluations in real settings (e.g., AI evaluation for critical infrastructure, field studies in high risk sectors, longitudinal continuous monitoring of AI post
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computational tools to predict materials properties at the quantum level. In addition, electronic structure methods that go beyond the accuracy of DFT such as Quantum Monte Carlo, GW, and other advanced
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is to measure to high accuracy the SI-traceable spectral energy distribution over the visible and near infrared wavelength range for a set of stars for use as flux standards for astronomy. In
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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with high stiffness nanoparticles, nanofibers, or fibers are of great interest to various engineering applications as these materials can enhance the matrix properties or impart new functionalities
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Computational Mathematics Division opportunity location 50.77.11.C0256 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Paul Nathan Patrone paul.patrone
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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conditions. NIST Boulder has one of the few facilities in the world capable of in situ testing in a high-pressure gaseous environment. The equipment also has a great deal of flexibility in the types
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process control applications in the nanomanufacturing and semiconductor industries. Our research focuses on the miniaturization of SPM sensing mechanisms (e.g., active cantilevers), high-speed MEMS scanning
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the existence of underlying physics. This project seeks to incorporate physical laws and domain knowledge into machine learning to improve performance with regards to small datasets, extrapolation and