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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers. Excellent communication skills and
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dissipativity theory. Applicants are expected to have strong skills in mathematical systems theory, linear algebra, and functional analysis, including an understanding of Hilbert spaces and function spaces
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dissipativity theory. Applicants are expected to have strong skills in mathematical systems theory, linear algebra, and functional analysis, including an understanding of Hilbert spaces and function spaces
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mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods. *Please note that the successful candidate will be required to undergo an academic qualification check
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prototyping, real-world testing, and publishing experimental results. Strong understanding of core mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods
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analysis, including numerical linear algebra and high-order methods High performance computing and open source software libraries (For a full description of CCM research areas and scientific staff, please
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear
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development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness