271 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:" positions at NIST in United States
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within the Quantum Measurement Division is investigating graphene metrology towards two goals: (1) to develop near-room-temperature graphene quantum Hall devices and other possible quantum electrical
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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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polymer networks, with well-defined chemistry and architecture, are needed to carry out quantitative measurements to establish design principles for programmable disentanglement or dissociation of network
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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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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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@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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devices, coatings, food-related materials, and personal care. Work emphasizes the development of analytical methods for quantitative measurement of engineered nanoparticle properties, including bulk and
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Microscopic and Spectroscopic Characterization in Engineered Polymeric Materials NIST only participates in the February and August reviews. The purpose of this research is to develop advanced
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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on the development and application of high-resolution measurement methods to study fundamental problems with broad industrial impact in areas such as the service life prediction of polymeric materials. Recent projects