359 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" positions at NIST in United States
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NIST only participates in the February and August reviews. This project’s focus is to develop light-scattering nanoscopy methods for rapid, multi-attribute characterization of nanoparticles
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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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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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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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development of RF MEMS/NEMS resonators. Several resonator geometries are being developed that combine low-loss mechanical design, unique materials, and electrostatic, electrothermal, and piezoelectric actuation
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evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and facilitate scalability for real-world applications
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plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring
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Curt Andrew Richter curt.richter@nist.gov 301.975.2082 Description Our research team is performing foundational experimental research to develop an improved understanding of the physics of the quantum
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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