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Experience and courses in one or more subjects are valued: machine learning, optimisation, linear algebra, deep learning, programming, dynamical systems. Rules governing PhD students are set out in the Higher
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) Strong programming and quantitative skills, including coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements
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, we promote mathematical literacy in society at large through a multitude of outreach activities. The Mathematical Institute has four research themes: Algebra, Geometry and Number Theory; Analysis and
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of linear algebra, calculus Familiar with robot control, control engineering, and machine vision Selection process Technical Interview Basic coding and programming skills Additional comments The PhD student
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30 Aug 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Mathematics » Algebra
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Learning and Deep Learning Development skills in MATLAB/Python/C++ are required Exposure to the latest signal processing techniques, linear algebra, and deep learning is desirable Experience with hardware
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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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machine control theory Programming in MATLAB, Python, C++ Working knowledge of optimization theory Knowledge of vector calculus and linear algebra The candidate should submit a research proposal for the
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. The KdV Institute offers a stimulating scientific environment in which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical