290 computational-physics-"https:"-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" positions at NIST
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. The relationships between the AM process parameters and the resulting structural and dimensional properties also remains unknown. This opportunity focuses on understanding process/product relationships in AM parts
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on developing autonomous ML-driven systems for measurement, calibration, and control of quantum systems and quantum computing platforms. Working closely with scientists in the Physics Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST High-Performance Cryogenics Location Physical Measurement Laboratory, Quantum Electromagnetics Division opportunity
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other NIST laboratories as well as local, state, and federal forensic laboratories will be possible. Due to the cross-disciplinary nature of this project, backgrounds in engineering, chemistry, physics
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-process densification. Complementary computational model simulation capabilities are also available. [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R. Jemian, L.E. Levine & A.J. Allen; J. Appl
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for testing the components of these devices is to make physical contact to the devices using micro probes. This approach has three main limitations: (1) each time the probes are landed on a device, they damage
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301.975.4539 Description The application of artificial intelligence (AI) in experimental material measurement science involves the union of physical infrastructure (e.g., synthesis and characterization equipment
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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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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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, 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