93 computer "https:" "https:" "https:" "https:" positions at Technical University of Munich in Germany
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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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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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Sekretariat.lls@ed.tum.de More Information https://www.asg.ed.tum.de/en/lls
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Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
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Objectives Development of sensitivity framework for coupled sensitivity analysis. Extend the developed framework to support FSI problems, and identify suitable sensitivity computation methods. Identify
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qualifications: • A completed Master’s degree (or equivalent) in a relevant discipline, such as philosophy, neuroscience, psychology, medicine, law, social sciences, computer science, or a related field • Strong
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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
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07.08.2025, Academic staff The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational Mathematics
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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and
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information of TUM. Kontakt: contmech@mw.tum.de More Information https://www.epc.ed.tum.de/ddmm/aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high