208 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Technical University of Munich in Germany
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interaction-rich scenarios. Ideal applicants will have a strong M.Sc. in machine learning, control, or safety, and hands-on experience with robotics. Apply now: https://lnkd.in/dNjmv835. Deadline: ASAP. We
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submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: office.lea@sot.tum.de More Information https://tumapply.aet.cit.tum.de/job/detail
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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30.10.2025, Wissenschaftliches Personal Data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and
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dedication to experimental work in a chemical laboratory environment and computer programming. • Team player skills and enthusiasm to work in a multi-disciplinary and multi-cultural environment • Excellent
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that you have acknowledged the above data protection information of TUM. Kontakt: Prof. Annette Diefenthaler, applications.mdi@tum.de More Information http://www.mdi.tum.de
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
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https://www.ep.mgt.tum.de/pur/team/stellenangebote/
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of TUM. Kontakt: fabian.frick@tum.de More Information https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: office.cm@mgt.tum.de More Information https://www.fa.mgt.tum.de