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. The composition explicit distillation curve method, developed at NIST, provides a unique approach to join fuel composition with the thermophysical properties. Of critical importance is the moiety family breakdown
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/ThreeBodyTB.jl), cluster expansion, classical potential development, and machine learning. In addition to work on specific problems, I work on developing new first principles-based modeling approaches, including
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seeks to develop the analytical capabilities and standards to support the measurement needs of the water measurement community and other governmental agencies that monitor and regulate water
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seeks to develop the analytical capabilities and standards to support the measurement needs of the water measurement community and other governmental agencies that monitor and regulate water
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and development of gene therapies. This NIST postdoctoral research opportunity focuses on developing robust protocols and refining measurement methods in infectious titer assays. Activities can include
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure determination by NMR, with
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301.975.3716 Description In support of the development of future electronic systems, research focuses in areas that relate to measurements and physics on the nanometer scale based on scanning tunneling
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, commercial qNMR standards have only appeared in the last few years. We seek proposals related to the development of high-accuracy methods or standard reference materials for the analysis of gas-phase mixtures
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large proteins. Cultures with poor transfection efficiency do not generate enough signal for STD-NMR spectroscopy and this has hindered method development. We seek proposals aimed at determining
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. These small -scale projects offer opportunities across all aspects of an experimental program from simulation to operations and data analysis. key words cold neutrons; cosmology; neutron physics; beta decay