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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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Description The Mathematics department at the University of Luxembourg currently has openings for up to 4 PhD positions in the following areas: - Algebraic geometry, - Geometry, - Mathematical aspects
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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
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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
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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with
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linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong
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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 Analysis, and (3
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, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC