361 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at NIST in United States
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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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@nist.gov 843.460.9894 Description This research focuses on developing new applications of high resolution/accurate mass (HRAM) mass spectrometry for exposure sciences and forensic analyses. HRAM mass
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This research focuses on developing new applications of high resolution/accurate mass (HRAM) mass spectrometry for environmental, forensic, and nutritional analyses. HRAM mass spectrometry instrumentation has
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301 975 3155 Description The project aims to develop nanoscale optical imaging microscopy using DUV and EUV light sources for accurate characterization of nanoscale structures that contributes
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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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physical sensing, quantum science, communications, and dynamic spectroscopy. We have developed novel approaches to comb generation [1], spectral translation [2], and their use to interrogate cavity
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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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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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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