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Field
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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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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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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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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
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competitions, published research, et cetera); fluency in mathematical notation, comfort with algebra and calculus; C1/C2 level in English, both in oral and in writing; knowledge and/or mastery of different
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involved include: (a) Participation in CMUC's activities with his/her specialized expertise. (b) Develop research tasks integrated in one of CMUC's research groups (Algebra and Combinatorics; Algebra, Logic