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such as PET-MR or MR-US have unique challenges when developing quantitative imaging protocols. In addition, the program has a focus on techniques that challenge the current methodology of MRI. Techniques
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@nist.gov 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to advance drug detection and identification (or drug
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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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NIST only participates in the February and August reviews. This research opportunity focuses on developing and improving the state-of-the-art methods for analysis, modeling, and simulation
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the combined research of the AEO and the CRP, web-accessible tools are being developed (e.g., the Economic Decision Guide Software – EDGe$ Online Tool) to support community resilience planning. Therefore, strong
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DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
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. This research aims to develop the label-free chemical imaging method to investigate the microscopic structure and composition of new biomaterials and smart polymers via collaboration with material scientists and
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. The development of specific genome editing technologies leads to the emerging of epigenetic editing, which now allows the epigenetic editing at specific loci and enables direct study of functional relevance
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. To embrace these changes, this project will develop a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through
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NIST only participates in the February and August reviews. This research opportunity is focused on developing advanced chemical characterization and analytical chemistry tools, data and research