332 embedded-system-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" positions at NIST
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301.975.2461 Description Our goal is to develop and apply new computational (molecular simulation) and theoretical (statistical mechanics and thermodynamics) methods to study complex fluids, with an emphasis
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our economy, ranging from fuels to refrigerants to foodstuffs. However, while there are tens of thousands of fluids in use, some of them at the level of hundreds of millions of tonnes per year, good
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cell is alive or dead, is a critical and challenging measurement. Our goal is to develop advanced methods for rapidly, accurately and quantitatively measuring the viability of mixed microbial populations
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Bias-induced Strain Mapping of Electronic and Energy Materials in an Atomic Force Microscope NIST only participates in the February and August reviews. Strain is induced when an electric field is
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, an improved understanding of the structure and dynamics of these molecules is needed. Because of the electrostatic interactions and connectivity of polymers, the dynamics and structure of these materials
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essential to many biological functions; however, it is still not clear how the bilayer structure, dynamics and functionalities are correlated. Our understanding is in part limited by experimental challenges
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Division opportunity location 50.77.31.C0556 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Carl Alexander Miller carl.miller@nist.gov (301) 975 5306
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Structural Systems Division opportunity location 50.73.11.B7075 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Joseph A. Main joseph.main@nist.gov (202
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@nist.gov 301.975.4127 Description This research is centered on the development and application of analytical methods to the characterization of nanomaterials. Opportunities exist to study the composition
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a premier tool for probing atomic dynamics, yet extracting physical insights from experimental data remains a significant computational challenge. Traditional methods—Empirical Force Fields and