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Informatics, Mathematics, or a related field (e.g. Computational Science/Engineering) Strong knowledge of machine learning, Scientific Computing (particularly linear algebra and numerics), and High Performance
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Mathjobs.org | about 1 month ago
equations: analytical and computational methods for differential equations and mathematical modeling. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high
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equations: analytical and computational methods for differential equations and mathematical modeling. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high
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programming, Translate assignment code between Python and Matlab. Fourier analysis, differential equations, and linear algebra. Qualifications: Only Current Masters or Doctoral student registered at McGill are
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 22 days ago
Skills/Qualifications Technical Skills and Requirements. Knowledge of symbolic and numerical methods, or computational geometry (stratification and triangulation).Solid background in linear algebra
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courses at the level of advanced undergraduate mathematics, including, but not limited to: Calculus 1, Calculus 2, Calculus 3, Differential Equations, Proof-Based Linear Algebra, and major’s level courses
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: discrete models and continuous models. Mathematical skills: working knowledge of linear and nonlinear algebra, vector and tensor algebra and calculus solution methods for coupled algebraic equations
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 29 days ago
. Availability to undertake international research stays and to follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and
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expected to teach courses such as: Calculus Linear Algebra Differential Equations Real Analysis Complex Analysis Abstract Algebra Probability Theory Numerical Methods Mathematical Modelling Applied
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, physics, scientific computing, remote sensing, geoinformatics or a related field A solid foundation in machine learning and relevant mathematical methods, including linear algebra, probability and