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) via e-mail and as a single PDF file to: ausschreibung10-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut
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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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nationality from biological sciences, chemistry, mathematics, computer sciences and physics. Be part of CiM-IMPRS, a program run jointly by the University of Münster and the Max Planck Institute for Molecular
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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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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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical