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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation and robotics. Consequently, a MUDS student will learn
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are an advantage: femtosecond laser and diagnostics, high power lasers, ultrahigh vacuum, programming skills (Labview, Python) Ability to work closely within a team: engineers, students, postdocs and scientists, and
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research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space missions. This university-funded Ph.D. research will investigate both fundamental and applied
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research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space missions. This university-funded Ph.D. research will investigate both fundamental and applied
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research foci include spaceflight mechanics, orbital robotics and systems engineering for advanced space missions. This university-funded Ph.D. research opportunity focuses on both the fundamental and
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of plant development. You will work in an interdisciplinary team with postdocs from Jülich and Hohenheim. Your tasks Literature research and (meta-)analysis to provide evidence-based knowledge for model