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. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Strong publication record in telerobotics, shared control, or human-robot
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and career growth. The AG Laugsch is embedded within Heidelberg’s excellent computational biology network, fostering close collaborations with experts like Carl Herrmann (Institute of Pharmacy and
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computational efficiency of large-scale simulations. The Chair of Computational Methods in Civil and Environmental Engineering at the Technical University of Munich (TUM) invites applications for Doctoral
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 12 hours ago
international working environment, with close links to Heidelberg University and Karlsruhe Institute of Technology. In addition, successful candidates benefit from outstanding computing resources. A competitive
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) Application Deadline 9 Oct 2026 - 13:03 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 11 Sep 2026 Is the job funded through the EU Research Framework Programme? Not
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Interested to join us? Please check out all vacancies published on our Max Planck Postdoc Program Application Portal. Your application should include: A cover letter, A CV and a list of publications
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close links to Heidelberg University and the Karlsruhe Institute of Technology. In addition, successful candidates benefit from outstanding computing resources. A competitive salary, relocation and
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 6 days ago
Job Offer from September 17, 2026 The “Computational Relativistic Astrophysics" division at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute; AEI) in Potsdam, led by
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Deadline 28 Aug 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 7 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative