302 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Germany
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- TH Köln - University of Applied Sciences
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- University of Duisburg-Essen
- University of Jena - Cluster of Excellence "Balance of the Microverse"
- University of Oldenburg
- University of Potsdam, Faculty of Science
- Universitätsklinikum Hamburg-Eppendorf
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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under: https://jobportal.uni-koeln.de . The reference number is Wiss2602-13. The application deadline is 01.05.2026. For further inquiries, please contact Professor Dr Stefanie Walch-Gassner (walch@ph1
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from the date of defense of your PhD and until September 9, 2026. Career breaks (parental leave, military service, work outside research, etc.) do not count towards the amount of research experience must
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Muehlleitner (ITP), Prof. Dr. Thomas Schwetz-Mangold (IAP), and Prof. Dr. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english
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to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology
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organisation. Where to apply E-mail bewerbung@gsi.de Website https://www.gsi.de/en/jobscareer/job_offers/job_offers/postdoctoral-researcher-… Requirements Additional Information Website for additional job
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the position and the application procedure, please see the following website: https://www.uni-bayreuth.de/job-vacancy-keyword-hydrosphear-predoc-6b4731df16ab0e66 Where to apply Website https://www.uni
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support, utilizing pharmacokinetics database PK-DB and individualized patient data (more information: https://livermetabolism.com/atlas ) Requirements: - completed scientific university degree in (bio
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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C