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RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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techniques. Developed models will be used to optimize processing and conventional alloy compositions for additive manufacturing. T. Keller, G. Lindwall, S. Ghosh, L. Ma, B.M. Lane, F. Zhang, U.R. Kattner
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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, 2016 , and Microphysiol Syst. 2020 Jun; 4: 10.21037/mps-19-8 ) that will make toxic metabolite detection more sensitive. Recent work includes a new, pumpless liver/heart system. NRC postdocs can propose
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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Quantum networks rely on entangled photons to distribute quantum information across the network. In our group, we study these photon sources as well as ways to utilize and optimize them for use in quantum
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
of sound, force, and vibration; accurate optomechanical sensors for sound, force, and vibration; quantum acoustical measurements based on phonon counting and entanglement; optimal incorporation of physical
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pluripotent stem cell lines from the same individuals, could serve as reference samples for other ‘omics technologies as well. For example, this postdoc could take advantage of the extensive single molecule
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Description Mathematical modeling forms the basis for understanding, simulating, optimizing and controlling numerous scientific phenomenon and associated measurements. Mathematical models frequently take the