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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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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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, differential equations, linear algebra to answer how neural computations are implemented in neural networks, both in individual neurons and at the level of large circuits. We are computational group that works
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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