185 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" positions at NIST
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NIST only participates in the February and August reviews. Community Resilience Metrics The Community Resilience Program (https://www.nist.gov/community-resilience) is developing science-based
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dioxide capture, storage, and utilization. We use diffraction and neutron scattering techniques to study structures and dynamics of CO2 after absorption in order to elucidate location and dynamics of CO2 in
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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301.975.6050 Jan Obrzut jan.obrzut@nist.gov 301.975.6845 Description As part of a collaborative NIST-wide program involving structural characterization, modeling, and high-throughput microwave measurement, we
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RAP opportunity at National Institute of Standards and Technology NIST Fundamental Studies of Polymer Mechanical Properties and Adhesion Location Engineering Laboratory, Materials and Structural
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solutions, protein solutions, charged colloid solutions, and even low-molecular mass salt species. This research opportunity involves phase diagram, structure, and dynamics of polyelectrolyte solutions and
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of Structured Reinforcement Learning for Supply Air Temperature Control’, presentation at 2022 ASHRAE Annual Conference, June 25-29, 2022, Toronto, ON. Pertzborn, A. J., Veronica, D.A. (2021) NIST Technical Note
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measurements at 18-digit accuracy using an optical clock network. Nature 591, 564–569 (2021). https://doi.org/10.1038/s41586-021-03253-4 [2] Chave, A. D. (2019). A multitaper spectral estimator for time-series
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are created during the imprint. In many instances, the desired properties of the functional material can be altered by the NIL processes. Examples might include changes in the pore structure of an imprinted
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system. However, not much is known about how these chemical modifications affect structure-function relationships. We propose to develop robust computational modeling in conjunction with experimental NMR