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, polarity, log concave function, hyperbolic convex geometry, billiards in the hyperbolic plane Alexander Guterman Linear algebra and its applicationsMatrices and graphs, numerical invariants in linear
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important sub‑problem in the research program for solving (1) is to factor the linear differential operator L ≔ ∂^r + a_(r‑1) ∂^(r‑1) + ⋯ + a_0 in the non‑commutative ring ℚ(x)[∂]. Three main approaches have
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-energy physics. We invite applications for postdoctoral positions to join this interdisciplinary program. Successful candidates will have the opportunity to work on topics such as cluster algebras
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mechanics, statistical modeling, and linear algebra Preferred Qualifications: Experience with density matrix renormalization group and tensor network algorithm development and application. Competency with
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vision/machine learning. Strong foundation in at least one of: numerical linear algebra, Fourier/spectral methods, scientific computing, and/or high-performance computing. Proven ability to publish in peer
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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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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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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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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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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor