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Description Developing next-generation joint communcations and sensing applications requires precise measurements of the radio frequency propagation environment as well as sensing target characterization
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stephanie.watson@nist.gov 301.975.6448 Description This research focuses on developing improved methodologies for characterizing and understanding the deterioration and durability of concrete materials, which
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation
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to develop traceable materials and methods to characterize the performance of magnetic resonance imaging (MRI) scanners, particularly their ability to noninvasively measure diffusion properties, such as the
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location 50.68.31.B7380 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Jason J. Gorman gorman@nist.gov 301.975.3446 Description We are developing
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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors
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these complex communities by developing sample preparation techniques that are compatible with NMR and mass spectrometry-based techniques. This will allow parallel multimodal analysis including proteomic
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higher production rates of small to medium sized parts compared to powder bed fusion technologies. The goal of this research opportunity is to develop new methods for their integration into machine
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models (organoids) are slowly being developed. This postdoctoral solicitation features an opportunity to comprehensively examine and expand upon current methods or to develop completely new, reproducible
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preparation, manipulation, and electrical probing in conjunction with electron microscopy (SEM). Such probes not only have proven research utility, but are also used in industrial development and process