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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
. The salary range for this position is $91,000- $150,000 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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of algebra, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical
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of algebra, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical
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of algebra, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical
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network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
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environmental samples for evidence protozoal disease; report and interpret clinical testing results along with overseeing billing and budgetary tasks; optimize and develop protocols and assays to further improve
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materials 4.Workplan and objectives to be achieved: The work plan includes activities focused on developing numerical modeling tools for the extrusion process and using them to support process optimization
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on the generation and transmission of sound, acoustic signal processing, advanced measurement techniques, transducers, room acoustics, vibration, and numerical methods. Responsibilities and qualifications The primary
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active areas of research. These include: Machine learning, especially the areas of optimization, learning theory, probabilistic modeling, deep learning, and high dimensional data analysis, as
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and