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length scales allowing for the two classes of systems to work together in new and interesting ways. We are interested in using the unique physics of fluid flow, mass transfer, heat transfer, and reaction
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characterization to nanophotonic integration. Our project is collaborative and interdisciplinary, and we seek outstanding applicants with high motivation and strong backgrounds in the physical sciences. Contact
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(bottom-up, top-down or targeted analysis). Results provide insight into the activity of different taxa leading to a clearer functional understanding of microbiomes. Although using high-resolution fast duty
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generation magnetic data storage. Research projects will include using X ray and neutron scattering to characterize the fidelity of the block copolymer structure to the template and computer simulations of
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NIST only participates in the February and August reviews. Co-advisor: Dr. Angela Stelson, S-parameters calibration lead. Commercial acoustic spectroscopy is stuck below 300 MHz, which limits our understanding of materials. For communications technology, the lack of acoustic data limits the...
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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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Protein; Single-molecule; Sequencing; Proteomics; Microfluidics; Fluorescence; Biochemistry; High-throughput; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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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 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
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R