153 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at NIST
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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and facilitate scalability for real-world applications
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Tytus Dehinn Mui Mak tytus.mak@nist.gov 202.360.6799 Description In the past decade, the rapid pace of development in mass spectrometry technologies has accelerated the rise of metabolomics and resulted
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation
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materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers
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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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. Opportunities exist for (1) the development of simple yet accurate modeling approaches that enable rapid collapse analysis of large structural systems, (2) comparison and quantification of the progressive
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quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and
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optomechanical sensors [3]. This very active area of research combines work in instrument development, nanophotonics, and spectroscopy. [1] Long, D. A., et al. (2014). "Multiheterodyne spectroscopy with optical
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to predict materials properties is essential to improve materials design methods. This research will focus on the development and integration of first principle calculations; atomistic simulations; and/or