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confirmation of conventional fire measurements and better assessments of measurement uncertainty. Techniques such as particle image velocimetry (PIV) have been successfully demonstrated in large-scale enclosure
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diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation approaches of interest include machine learning
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, including the Facility for the Spectral Irradiance and Radiance responsivity Calibrations using Uniform Sources (SIRCUS), the Hyperspectral Image Projector (HIP) Laboratory, the Remote Sensing Laboratory, and
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NIST only participates in the February and August reviews. The modern transmission electron microscope (TEM) is capable of atomic-resolution structural and chemical imaging. However, such data
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addition, the emerging "materials by design" paradigm places emphasis on the use the computation for the development and design of new materials. Candidates with an interest and background in computational
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RF-based techniques, inertial sensors, imaging techniques, ultrasound, altimeters, and magnetometers. Cooperative localization techniques are also important. We are interested in not only improving
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-mapping through digital-image correlation and elevated temperatures of the environment. In addition to this unique facility, mechanical testing experiments are also conducted at other NIST facilities
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, folding, and function. Biophysics; Magnetic field; Modeling; Nanoparticles; Protein; Raman imaging; Resonance Raman; Surface-enhanced Raman spectroscopy (SERS);
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(e.g., interfacial adhesion, fracture strength) of heterogeneous structures We are looking for researchers with a PhD in Mechanical Engineering, Materials Science, or Physics who have expertise in
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-TEM, SEM, UV-VIS, SQUID, and SERS. key words Anisotropic nanoparticles; Biomedicine; Gold nanoparticles; Magnetic nanoparticles; Magnetic resonance imaging; Nanorod; Plasmonics; Synthesis; Toxicity