27 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships at Technical University of Munich
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20.02.2026, Academic staff Are you passionate about using AI to solve the world’s most pressing challenges? Do you believe that technology should serve a higher purpose? Are you passionate about
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System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely involved in the Schmidt Sciences project MountAInWater, coordinated by the Institute for Science and Technology
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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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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Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche/ The position is suitable for disabled persons. Disabled applicants will be
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
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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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of equal qualifications. https://www.cee.ed.tum.de/ccbe/ Prof. Dr.-Ing. André Borrmann Chair of Computing in Civil and Building Engineering Technical University of Munich Arcisstrasse 21, 80333 München
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines