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structural techniques for probing the interface, such as SEIRAS and STM, with computational methods to develop new electrochemical models. The computational work focuses on combining DFT methods
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, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and distribution of the monomers with
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of the difficulty of producing membrane protein crystals of the quality required for high-resolution x-ray or neutron diffraction studies. Numerous approaches involving surfactant-based systems exploiting
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microscopy, and neutron reflectivity, are studied in this project. As a consequence of this work, very high sensitivity magnetic sensors, low energy loss transformers, room-temperature and low field magnetic
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to develop tools to enable more routine high level production of labeled proteins using these different expression platforms. key words Protein labeling; Protein expression; Stable isotopes; Eligibility
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, temperature, aerosol levels, and other physical environmental variables. Such measurements require high accuracy to meet the stringent demands of climate research, land and environmental monitoring, and weather
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Protein; Single-molecule; Sequencing; Proteomics; Microfluidics; Fluorescence; Biochemistry; High-throughput; Eligibility Citizenship: Open to U.S. citizens Level: Open to Postdoctoral applicants Stipend
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hydrazinoborane LiN2 H3 BH3 and LiN2 H3 BH3 •2N2 H3 BH3 : Crystal structures and high-extent dehydrogenation". Energy & Environmental Science 5: 7531, 2012 Neutron/X-ray diffraction; Neutron scattering
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numerical predictions) are strongly affected by stretch, buoyancy, and radiation heat losses. This project consists of experiments and numerical modeling of these flames to understand their fundamental
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to characterize the multitude of molecular interactions present in complex, many-component mixtures. Measurements include density, speed of sound, heat capacity, viscosity, and thermal conductivity. We