231 application-programming-android-"Prof" positions at Technical University of Munich
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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“lastname_firstname.pdf” by September 21st, 2025, at the latest to: cornelius.senf@tum.de For questions about the position, please contact Prof. Dr. Cornelius Senf, cornelius.senf@tum.de. As part of your application for a
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where applicable. Enrollment in TUM’s Doctoral Program with structured training, workshops, and networking. Access to both academic and industrial research environments supporting strong career
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Industrial Partner: Novatron, Finland – 24 months Supervisors: Prof. Achim Lilienthal (TUM), Antti Kolu (Novatron) Target Degree: PhD awarded by the Technical University of Munich Starting Date: 1 March 2026
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how
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, m/w/d) for a 50% part-time position (20 hours/ week) to join the Chair of Entrepreneurial Education (Prof. Dr. Anne Tryba) at the TUM Entrepreneurship Research Institute. The position is offered under
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for the built environment will be developed in collaboration with teams led by Prof. Dr.-Ing. Matthias Niessner (Chair of Visual Computing and Artificial Intelligence, School of Computation, Information and
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applications from qualified women. In addition, we offer: • A highly topical research environment linking soil physics, ecology, and biodiversity conservation. • Supervision within an experienced, international
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis