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Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description The research group Cyber-Physical Systems of Prof. Matthias Althoff
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physics, nonlinear dynamics, and stochastic processes; advanced programming skills, ideally also with computer algebra software; teaching introductory material of applied mathematics (for physics students
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environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information
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Imaging Mathematical Modelling and more. Applications for the PhD program can be submitted from 10 March to 9 May 2025. Projects start in October 2025 (earlier starts are possible if desired). Applications
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dedicated, ambitious and supportive research team in state-of-the-art facilities and will experience the benefits of a structured PhD training program that provides doctoral students with interdisciplinary
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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with