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manufacturing systems. The eventual goal is to develop a framework for enabling system interoperability. Background in algebraic topology or similar field in mathematics, or in the theory of programming
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of mm-wave and microwave components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with
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technique, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock-amplifiers, vector network analyzers, resonators is
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, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric
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research; Mathematical programming; Systems analysis; Risk analysis; indicators; statistics; hazards and disaster research Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral
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[email protected] 301.975.6103 Description Applied optimization and simulation form an area of engineering that sits between mathematics and computer science. They include computational tools used
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learning applications; now, we are looking for the "what’s next." If you have the vision to transform 100 TB of multimodal materials data into the next great scientific breakthrough, we invite you to
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computer-controlled microfluidic devices with controlled flow type and shear rate. Microfluidic rheometry for small-angle x-ray scattering (SAXS) and extensional rheometry for neutron scattering are
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added easily. More information is available at http://www.ctcms.nist.gov/oof/ . Opportunities exist in image analysis, materials science, physics, and computer science. Keywords Computation; Finite
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standardization of domain-based AI systems and human-computer interactions such as curation and information retrieval. Keywords Ontologies; Natural Language Processing; Machine Learning; Artificial