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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 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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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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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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equations, and linear algebra. Posting Detail Information Desired Start Date 08/16/2026 Job Open Date 10/17/2025 Job Close Date Open Until Filled Yes Special Instructions to Applicant All applicants must
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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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need, these courses may include sections of entry-level calculus courses through multivariable calculus and linear algebra, a non-sectioned course taught independently, and possibly a graduate level
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considered, preference may be given to applicants whose work bridges theory and applications in data analysis, discrete mathematics, linear algebra, or optimization, and they are especially encouraged to apply