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equations, non-linear analysis, graph theory, combinatorial optimization using metric-type structures, algebraic structures in analysis and topology, statistics and probability theory, application of data
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
learning algorithms to link multispecies dynamics to biological data from invasion scenarios. The project integrates elements from dynamical systems theory, ordinary differential equations, linear algebra
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the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to iterative methods, numerical linear algebra, and parallel computing. The project will be carried out in
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: Experience working with large scale open-source codebases Experience developing and working with linear algebra packages (LAPACK, BLAS, ATLAS, Eigen) Experience working in high-performance computing
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required to teach about four subjects in a year as listed below in Japanese. - Practices; Basic Programming, Information Processing, etc. - Math: Linear Algebra, Applied Math, Probability and Statistics
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course subjects. For a complete list of courses and course descriptions, please refer to the departmental link below. Mathematics Analytic Geometry Calculus I Calculus II College Algebra Linear Algebra
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, Preparation for Calculus, Calculus, and Linear Algebra. Adjunct faculty members will be required to use certain texts and meet certain parameters set by the Department of Mathematics. Adjunct instructors will
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assignment code between Python and Matlab. Fourier analysis, differential equations, and linear algebra. Qualifications: Only Current Masters or Doctoral student registered at McGill are eligible to apply as
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to contribute to interdisciplinary collaborations. Expertise in an area that supports existing or emerging department strengths, such as numerical linear algebra, optimization, computational methods in machine