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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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and physical systems, including topics such as differential geometry, invariant theory, algebraic and metric geometry, symmetry, geometric data analysis, and infinite-dimensional geometric structures
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fields. Based upon available funding, this position may have a teaching load of up to 3 courses per year, which range from standard subjects like calculus or linear algebra, to other more advanced subjects
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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport
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differential algebra desired. Additional Information: The College of Arts and Sciences is the largest college and the academic heart of the university. The College hosts 81 majors. With 38 departments, 20+ world
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of physics, including in high energy and condensed matter systems. Applicants with a background in algebraic topology, higher geometry, or mathematical physics are encouraged to apply. Terms of employment
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linear algebra, graph databases, or bibliometric and patent data. A track record in open-source scientific software or research collaborations with external partners. Additional Information Enquiries
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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excellence and advancing the mission of both the College and the University. The Department of Mathematics is a diverse and growing department with strengths in Algebraic Geometry, Analysis, Combinatorics
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Combinatorics with connections to commutative algebra, topology, geometry and convexity Ohad Noy Feldheim Probability, Gaussian processes, discrete probability, extremal combinatorics Zlil Sela Geometric