349 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at NIST
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are developing machine learning-driven autonomous metrology research systems, with the goal of accelerating the development of self-correcting photonic and quantum sensor networks. These systems combine machine
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identification purposes has been applied in the field of forensic science for over 20 years. NIST develops standards and genetic tests to support the forensic science community. Areas of interest include typing
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in biomanufacturing and personalized medicine. We are developing new electronics techniques that leverage the field effect, and optomechanical interferometric methods for the on-chip measurements
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301.975.2461 Description Our goal is to develop and apply new computational (molecular simulation) and theoretical (statistical mechanics and thermodynamics) methods to study complex fluids, with an emphasis
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NIST only participates in the February and August reviews. The development of nanomaterials, biomaterials, sensor films, and surface measurement methods require well-defined substrates that vary in
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are needed to support the clinical testing community and manufacturers of working standard materials. Challenges lie in developing relevant standards in a timely fashion to support new clinical targets and
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are interested in developing advanced correlative microscopy techniques for characterizing nanoparticles in cells and tissue. Combining multiple microscopy and chemical characterization techniques, this work
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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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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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. Chemical engineers constantly need reliable property data for process design development and optimization. This information is predominantly coming from scientific publications. Thousands of papers