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applications in evolutionary biology and art history Alexander Guterman Linear algebra and its applicationsMatrices and graphs, numerical invariants in linear algebra, rings and algebras Eyal Kaplan
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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combinatorics, applied algebraic geometry, non-linear algebra, discrete geometry (including total positivity, cluster algebras, amplituhedra, and positive geometry), and high-energy physics (including scattering
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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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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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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization
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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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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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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