361 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at NIST
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quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and
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models (organoids) are slowly being developed. This postdoctoral solicitation features an opportunity to comprehensively examine and expand upon current methods or to develop completely new, reproducible
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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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such as PET-MR or MR-US have unique challenges when developing quantitative imaging protocols. In addition, the program has a focus on techniques that challenge the current methodology of MRI. Techniques
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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