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their knowledge in a wider field of physical phenomena and their associated measurements. References 1) Malavé, V.; Jeerage, K.; Garboczi, E.; Lovestead T., J. Breath Res., 2024, 18 016002. 2) Brown, T.E., Malavé
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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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. A key challenge is the integration of prior knowledge into the data analysis, including both device physics and material properties.We are primarily interested in photonic (e.g. silicon ring
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surfaces take advantage of the increased electrical functionality, chemical and structural robustness, wealth of fabrication knowledge, and present a less disruptive technology compared with monolayers
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like ion mobility). Applicants are expected to have knowledge of LC-MS/MS. Knowledge of mass spectral libraries would be beneficial. References: https://doi.org/10.1002/rcm.7475; https://doi.org/10.1002
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@nist.gov 303.497.5252 Description New energy technologies demand improved knowledge of the thermal transport properties of fluid mixtures, often including water as a component. It is well established
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work is anticipated in the areas of microresonator design, engineering biology/biomanufacturing, dioxygen imaging in 3D cell culture, and structural biology methods development. Knowledge of microwave
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characterizations of the process-structure and structure-property relations, and the development of database content. The developed models, knowledge, data, and software will be used to further the NIST effort to
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studies reported. Our ongoing research is aimed at understanding the mechanism of E. coli, yeast, and mammalian cell adaptation to growth in the presence of heavy isotopes, and to use this knowledge
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underpin the development of the needed metrology to close this gap. The ideal candidates would have some understanding of high frequency electrical characterization, as well as substantial knowledge and