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202 578 8353 Edwin Pak-Nin Chan edwin.chan@nist.gov 301.975.5228 Sara Orski sara.orski@nist.gov 301 975 4671 Description Understanding the structure and mechanical properties of polymer networks is
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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. Successful industrialization of these new sintering technologies requires a thorough understanding of their underlying physical mechanisms, which is still incomplete. This NRC opportunity complements
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NIST only participates in the February and August reviews. The roll out of high-speed, low-latency communications networks is expected to drive economic growth through automation while creating new markets spaces that include self-driving cars and augmented reality. At the hardware level, the...
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RAP opportunity at National Institute of Standards and Technology NIST Chip-scale atomic magnetometers Location Physical Measurement Laboratory, Time and Frequency Division opportunity location 50.68.82.C0807 Boulder, CO NIST only participates in the February and August...
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. These materials systems may have far-reaching applications, extending from neuromorphic computing to compact multiple-input multiple-output antennas. By achieving the aims of this project, this Associate will
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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; Electron microscopy; X-ray diffraction; X-ray computed tomography; Mechanical properties; Fatigue; Fracture; Modeling; Atom probe; Microstructure; Processing; Eligibility citizenship Open to U.S. citizens
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. Applying these techniques to induced pluripotent stem cell (iPSC) colonies will provide a better understanding of cellular mechanics and efficiency of differentiation, and will allow systematic quantitative
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Description Nanomechanical properties are critical for the design of all nanodevices. For example, all nanodevices experience mechanical loads during processing and service, and quantitative predictions