233 electric-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and design Location Material
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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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NIST only participates in the February and August reviews. This program explores the development and evaluation of integrated measurement strategies for biopharmaceutical manufacturing using the NIST Biomanufacturing Testbed and the NISTCHO/cNISTmAb model system. Projects are focused on...
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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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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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the development of new expertise in acoustic measurements of fluids, from bulk samples down to the tiny volumes used in microfluidic devices. The design, fabrication, measurement, and analysis of integrated devices
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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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design and data analysis at the NCNR using techniques such as reinforcement learning. Keywords AI; Machine Learning; Artificial Intelligence; Neutron; Eligibility citizenship Open to U.S. citizens level