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signals design and processing, and mutlitmodal sensing. The project welcomes expertise in robotics, serial communication protocols and microprocessors, signal processing, and finite element modeling, and
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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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trapping schemes for position retention and confers different scientific and technological application spaces which have yet to be sufficiently explored or exploited – those in which the color center may
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laboratory is equipped with both a conventional atom probe tomograph as well as a prototype EUV-modified atom probe tool. Furthmore, our collaborative laboratory structure provides critical in-house support
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Description In recent years, there have been significant efforts to develop magnetic nanoparticles for biomedical applications. This has included work in magnetic resonance imaging (MRI), hyperthermia
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are conducted throughout the manufacturing process of cell-based products and also serve as release criteria. Unfortunately, common measures of cell viability including dye-exclusion, often do not correlate
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patterning. Techniques such as quantitative fluorescence microscopy, time lapse imaging, image analysis, gene reporter cell lines, and flow cytometry will be used to monitor culture heterogeneity, consistency
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital
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compared to powder bed fusion technologies. The goal of this research opportunity is to develop new methods for their integration into machine, process, or part qualification and providing benchmarking
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Digital Image Correlation (DIC) to study the non-equilibrium dynamic response of soft polymers and to explore non-uniaxial stress and strain states by testing novel sample geometries that otherwise could