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and neural engineering • bio-statistics and AI-healthcare • smart/semi-conductor manufacturing • AI/robotics/autonomous systems • aerospace and microelectronics engineering • energy
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systems in potential application domains including mobility, healthcare, manufacturing, logistics, and critical infrastructure. Where to apply Website https://www.academictransfer.com/en/jobs/362815/phd-in
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for the position to grow into a more long-term research track, with good opportunities for new collaborations. Read more: VerSACE(https://www.saferresearch.com/news/versace-will-make-frequent-software-updates
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of core modules in the fields of production engineering and industrial engineering. You will supervise project, bachelor's and master's theses, as well as perspectival PhD theses. You are involved in
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24th September 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate in Counter-Drone Systems (C-UAS) Apply for this job See
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD course, with a multidisciplinary approach, will train
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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
Recognised Researcher (R2) Positions PhD Positions Application Deadline 15 Aug 2026 - 11:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
and robotics. As the successful candidate, you will develop innovative research programs spanning atomistic and mesoscopic materials simulations, machine learning, foundation and surrogate models