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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
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pluripotent stem cell lines from the same individuals, could serve as reference samples for other ‘omics technologies as well. For example, this postdoc could take advantage of the extensive single molecule
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less). To address this technological bottleneck, we are developing a new technology platform--next gen protein sequencing--based on large-scale, massively parallel, single-molecule peptide sequencing
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molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM). Specifically, we achieved sub-pN force precision and
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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NRC Programs at National Institute of Standards and Technology This page provides specific information related to the NRC Research and Fellowship Program at NIST. Use the navigation on the left
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parallel, low-cost analysis systems that do not rely on optical or aptamer-based labels. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in detail
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simulation techniques. In addition, simulations and examination of the overall separation process may require computational studies across multiple length scales. key words Modeling; Nanotube; Molecular
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, 2016 , and Microphysiol Syst. 2020 Jun; 4: 10.21037/mps-19-8 ) that will make toxic metabolite detection more sensitive. Recent work includes a new, pumpless liver/heart system. NRC postdocs can propose