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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
postdoctoral scholars to work with us on innovative research to advance the state of the art in measurements of such quantities. Opportunities exist to carry out projects to achieve: photonic measurements
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This research will focus on developing advanced magnetic resonance imaging (MRI) and magnetic sensing techniques. Research topics include 1) imaging radiation propagation and absorption in tissue mimics, 2
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scientific experiments that produce measurements. This research often leads to numerical implementations and associated testing, to numerical analysis of accuracy, to optimization, optimal control or optimal
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phases. This research will integrate a variety of modeling tools across multiple time and length scales to predict the microstructure evolution during the AM build process and post build thermal
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Actinic Optical Dimensional Characterization of Deep-Subwavelength Nanostructures NIST only participates in the February and August reviews. This research opportunity centers on the development
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shocks and stressors). This research effort relies extensively on modeling and optimization, with consideration for field data collection, and statistical and geospatial data analysis. Informed by
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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NIST only participates in the February and August reviews. This research opportunity involves the diffusion and adsorption fundamentals of charged macromolecules (polyelectrolytes, DNA, colloids
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coefficients, and colossal magnetoresistance. Materials with optimal properties are generally solid solutions, often involving four or more different metal ions. Research opportunities exist in the systematic
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. Analytical biochemistry plays a significant role in optimization of the production process, testing and clearance of associated impurities, and characterization of product- and process-related variants