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series. Linear Algebra: Matrices, vector spaces, linear systems, eigenvalues. Numerical Methods: Numerical solution techniques for material modeling. Functional Analysis: Hilbert spaces and operators
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of Linear Algebra and Analysis Experience with PyTorch and GitLab Curiosity and problem-solving skills (a little Google-Fu is helpful!) What you can expect Central location: Only a few minutes' walk from KIT
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Birkbeck, University of London, is seeking an Associate Lecturer to teach algebra and linear and non-linear optimization next year in 2026. The School of Computing & Mathematical Sciences is
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, such as quantum sensing, quantum cryptography and quantum computation, with experiment limitations implemented as mathematical constraints. The applicant should have a a mastery of linear algebra
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foundation in statistics (likelihood, EM, Fisher information), probability, numerical optimisation, computational linear algebra. Proven experience in scientific programming: Python (NumPy/SciPy, JAX
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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- Linear Algebra and Probability MATH 133 - Linear Algebra and Geometry MATH 140 - Calculus 1 MATH 141 - Calculus 2 MATH 203 - Principles of Statistics 1 MATH 204 - Principles of Statistics 2 MATH 222
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Preferred Qualifications Completion of MATH 2250 - Differential Equations and Linear Algebra; MATH 2270 -Linear Algebra; MATH 2280 - Ordinary Differential Equations; and/or one upper division (3000 or 4000
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's
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Mathematics, College Algebra, Trigonometry, Statistics, Finite Math, Business Calculus, Precalculus, Calculus, and/or Linear Algebra. Demonstrate a high level of verbal and writing skills as