208 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" positions at Technical University of Munich in Germany
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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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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: 2025/09/30 11:59PM Position Description The TUM School of Computation, Information and Technology
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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