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Description The Communications Technology Laboratories (CTL) at NIST is looking for a research assistant to work developing mm-wave components from complex oxides. This project will involve dc to 110 GHz
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, acoustic-electric spectroscopy, and other nonlinear materials characterization techniques. We will develop on-wafer acoustic microfluidic devices. Necessary skills include finite element simulations, digital
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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 sustainable aquaculture in the US. The research will be accomplished through the complementary capabilities or both organizations including advanced analytical capabilities at NIST (e.g., LC-HRMS
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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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accurate measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and
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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