206 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Technical University of Munich in Germany
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finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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@tum.de More Information https://www.epc.ed.tum.de/fileadmin/w00cgc/ddmm/pdf/PhD_DFG_Inverse_Bio_2025.pdf
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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@tum.de More Information https://www.epc.ed.tum.de/fileadmin/w00cgc/ddmm/pdf/PhD_DFG_Inverse_Bio_2025.pdf
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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information of TUM. Kontakt: ai4eo@tum.de More Information https://www.asg.ed.tum.de/sipeo/jobs/
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to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm to have read and
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list of what TUM offers: https://www.gs.tum.de/en/gs/community-diversity/welcome-services/ Qualifications and Interests: Master's degree in Economics, Psychology, Behavioral Science, Social Science