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, heterogeneous metastable microstructures, and nonequilibrium phases. These challenges make it difficult to establish the critical structure-process-performance relationships required for qualification and
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manufacturing processes, analyze the data with a fusion of metrological approaches and machine learning, and monitor and predict the performance of machines and their processes. Semiconductor manufacturers desire
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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be generating terabytes of image data per day, there are several open research problems that would become the research focus of a postdoctoral candidate. The problems include (a) finding optimal
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; narrow, symmetric peaks and flat baselines are readily obtained for most samples; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the
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infrared spectroscopy, spectroscopic ellipsometry, contact angle measurements, and atomic force microscopy. Key aspects of this work involve examination and optimization of alternative functionalization
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to optimize the stability, targeting, and delivery of drugs using nanoparticles requires a thorough understanding of the roles the NP core (e.g., size, shape, composition, etc.) and surface properties
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to work on optimizing MPS designs (potentially with integrated, microfabricated sensors), developing new tissues-on-chips, developing MPS for new organ combinations, and testing drug candidates in
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and optimize separations design. We are seeking collaborators to work with NIST researchers to develop on-chip electric-acoustic spectroscopy to characterize intermolecular interactions in solution. We
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties