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; Autonomous; Machine learning; Informatics; High-throughput; Data mining; Functional materials; Active Learning
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RAP opportunity at National Institute of Standards and Technology NIST Computational and Theoretical Approaches for Understanding Complex Fluids Location Material Measurement Laboratory
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of structural responses for performance-based seismic engineering of tall buildings. Opportunities include the following: (1) developing improved modeling and analytical capabilities for nonlinear dynamic
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the development of analytical methodologies, from both instrumentation and informatics standpoints, for the multifaceted and convoluted data that are obtained from complex biological, chemical, and forensic samples
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Metrology for Quasi-Optical Wireless Probing of Monolithic Microwave Integrated Circuits NIST only participates in the February and August reviews. Ultrafast electronic devices with fundamental operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio...
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Progressive Structural Failure and Collapse Location Engineering Laboratory, Materials and
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RAP opportunity at National Institute of Standards and Technology NIST Creating Computational Techniques to Investigate the Ensemble Structures of Flexible Proteins In Combination with Neutron
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Fracture and Fatigue in Hydrogen Environments Location Material Measurement Laboratory, Applied
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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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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