208 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions at Technical University of Munich
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conferences and workshops, and supporting the team in preparing grant applications. You will also be expected to contribute to teaching in our master's program and assist in supervising bachelor's and master's
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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development program (self & time management, communication skills, team development, burnout prevention, structured research work) Support for post-academic career: test field and office space for startups, job
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: fabian.frick@tum.de More Information https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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: Dynamical Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members
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ELLIS unit, and more. A generous budget for attending conferences, workshops, and summer schools. How to apply If you plan to start your PhD after May 2026, please do not apply directly. Instead apply