215 application-programming-android-"Multiple" positions at Technical University of Munich
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autonomy. ✅ High interest in cultural heritage applications. ________________________________________ Our Offer • Dynamic and interdisciplinary research environment bridging heritage science, materials
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for three PhD positions to be filled on August 1st 2025 to enlarge our research team working on NLP for medical applications. PhD Positions in NLP for Medical Applications The Chair of Software Engineering
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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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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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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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to: https://bonaldli.github.io/ Application process We look forward to receiving your application documents (one-page letter outlining your motivation and research plan, transcripts of records, CV
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Candidates (f/m/d) in Machine Learning Applications to Sustainable Energy Management. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like
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world. About the position We invite applications for a 2-year Postdoctoral Researcher position starting in January 2026, supervised by Dr. Judit Lecina-Diaz and Prof. Rupert Seidl. The successful
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on formal verification and reachability analysis using logical zonotopes, with applications in digital circuit verification and model checking. Candidates should have a strong mathematical background and