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Field
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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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Applied Mathematics (Ref: FST250902) Job Description The successful candidate is expected to deliver lectures and tutorials in the areas such as real analysis, complex analysis, partial differential
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differential equations is a requirement. Research-level experience with development of simulation technology is a requirement. Research-level experience with either multiphase flow in porous media
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performance computing. Topics include modelling, floating point computations, molecular dynamics, fast Fourier transforms, solving partial differential equations, parallel programming concepts, and hybrid
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Differential Equations driving the development, analysis, and implementation of efficient discretization and solution methods. In addition, expertise in continuous optimization, stochastics, or applied analysis
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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data
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Mathematics, Fundamentals of Reasoning, Quantitative Reasoning, Precalculus I & II, Statistics, Applied Calculus, Calculus I-III, Differential Equations, and Linear Algebra. Successful completion and passing
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Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of partial differential equations
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partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic
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years in following disciplines: Pure mathematics: algebraic geometry, differential geometry, partial differential equations, number theory, probability, topology. Applied mathematics: computational