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301.975.3113 Karen Williams Phinney karen.phinney@nist.gov 301.975.4457 Description Research focuses on developing new techniques for determination of compounds of forensic interest. We are particularly
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materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers
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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
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augmented intelligent solutions that monitor, diagnose, and predict process performances to optimize production quality and yield. Proposals are welcome to develop augmented intelligent solutions
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their processes. Smart machine tools assess and predict their health and the performance of their processes in real time to optimize production quality and yield. Proposals are welcome to develop
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Description We are using innovative processing to develop novel superconducting materials with enhanced properties for quantum circuit applications. Critical elements for development of these materials
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Description We are currently developing microsystems for multiplexed biomolecular analysis (e.g., gene expression, microRNAs, proteins, cytokines) at the single cell level. Research goals include developing
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causes of data variability to improve product quality and reproducibility [1]. Simulation Modeling: Developing theoretical and mathematical descriptions of physical phenomena, including both physics-based
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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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for postdoctoral applicants to develop SEM reference samples in NIST’s NanoFab and to develop models to simulate electron scattering, secondary electron generation, electron transport, scattering in gases