413 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at NIST in United States
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Broadband Electromagnetic Characterization of Thin-Film Electronic Materials and Devices NIST only participates in the February and August reviews. Electronic material are important for an extremely broad range of applications, from piezoelectrics for actuation and sensors to thermoelectrics for...
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Activation and Deactivation of Cannabinoid Receptors by Nuclear Magnetic Resonance (NMR) Spectroscopy Screening NIST only participates in the February and August reviews. The endocannabinoid system modulates physiological processes including appetite, pain-sensation, mood, and memory. Endogenous...
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NIST only participates in the February and August reviews. Electromagnetic techniques can provide a means for rapidly analyzing or processing biochemical samples in a manner that can be readily scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before...
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vesicles. Science Translational Medicine, 2019. 11(492). 3. Nelson, B.C., et al., Measurement and standardization challenges for extracellular vesicle therapeutic delivery vectors. Nanomedicine (Lond), 2020
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RAP opportunity at National Institute of Standards and Technology NIST Multiplexed Biomolecular Measurements Location Material Measurement Laboratory, Biosystems and Biomaterials Division
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. These polymers are under active clinical investigation and provide a platform for both fundamental science and application-directed study. This research opportunity will emphasize advancing characterization and
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, Abramson J, Nanda H, Rostovtseva TK, Bezrukov SM: “Structural features and lipid binding domain of tubulin on biomimetic mitochondrial membranes.” Proceedings of the National Academy of Sciences of the USA
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RAP opportunity at National Institute of Standards and Technology NIST Finite Element and Crystal Plasticity Modeling for the Development of Lightweighting Materials Location Material
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties Location Material Measurement