387 electrical-engineering-"https:" "https:" "https:" "https:" "https:" "OSU" positions at NIST
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understanding of materials. For communications technology, the lack of acoustic data limits the design of acoustic filter technology. For pharmaceuticals and chemical manfucaturers, there are important relaxation
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RAP opportunity at National Institute of Standards and Technology NIST Advanced Instrumentation for Fundamental Electrical Measurements Location Physical Measurement Laboratory, Quantum
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systems will enable a wide range of sensing applications, including chip-scale optical atomic clocks, accelerometers, gravimeters, magnetometers, and electric field imagers to support GPS-free positioning
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RAP opportunity at National Institute of Standards and Technology NIST Microwave Conductivity of Carbon-Based Nanocomposites Location Material Measurement Laboratory, Materials Science and
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Graphene Metrology for New Intrinsic Quantum Electrical Standards and Device Technologies NIST only participates in the February and August reviews. The Fundamental Electrical Measurements group
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on the science that will underpin the development of the needed metrology to close this gap. The ideal candidates would have some understanding of high frequency electrical characterization, as well as substantial
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RAP opportunity at National Institute of Standards and Technology NIST Conductivity and Resistivity of Materials Location Physical Measurement Laboratory, Quantum Measurement Division
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incorporating acoustic techniques is a current project focus, requiring new cross-disciplinary approaches to adapt established acoustic techniques to be compatible with, and provide additional information
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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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to Current Code in Benefit-Cost Studies. National Institute of Standards and Technology, 2026. https://doi.org/10.6028/NIST.RB.11 . 4. Faiz, Tasnim Ibn, and Kenneth W. Harrison. “A Risk-Averse Stochastic