391 structural-engineering "https:" "https:" "https:" "https:" "Universidade do Minho ISISE" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete Location Engineering Laboratory
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular Engineering Group works to provide a foundation of
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RAP opportunity at National Institute of Standards and Technology NIST Nanomechanical Properties of Polymer Thin Films Location Material Measurement Laboratory, Materials Science and Engineering
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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environment. Field and laboratory measurements of fire and fire protection engineering consider a wide range of fundamental and applied research issues associated with wildland-urban interface fires, structure
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RAP opportunity at National Institute of Standards and Technology NIST Large Eddy Simulation of Fires and Combustion Systems Location Engineering Laboratory, Fire Research Division opportunity
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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