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also have familiarity with X-ray Diffraction and Pair Distribution Function anaylisis, experience with data acquisition using the Bluesky experiment orchestration package, and knowledge of beamline
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materials. We are interested in studying the structure and mechanical properties of polymer networks with defined molecular topologies (functionality, branching, and molecular mass distribution), as
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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continues to push patterning to new limits. There are significant needs to understand how the components in these resists are distributed, and critically whether there is aggregation that could contribute
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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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of phase distributions, grain sizes, texture, and residual stresses in both as-built and heat-treated materials. Model results will both be informed by and feed into parallel work in macroscale
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the distribution of drugs in the body and the accumulation of chemicals by organisms in the environment. This approach ignores the difference between storage lipids (triacylglycerides) and membrane lipids
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Description We are seeking a NIST postdoctoral Fellow within the Materials Measurement Science Division . This postdoc will be a key member of a new project to develop an autonomous platform for developing and
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resolution techniques are explored to achieve quantitative reconstruction of nanoscale structure images by developing novel DUV/EUV imaging optics and quantitative phase retrieval algorithms. A qualified
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further enriches the available data from which material behavior can be extracted. Separate work is being done to develop robust algorithms to quantitatively compare the physical and simulated experimental