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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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and interest in one of the following fields: • Solid state quantum information science. • Quantum optical properties solid-state systems (e.g. semiconductor quantum dots, colour centers in wice gap
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. The team is located within the School of Computation, Information and Technology at the Technical University of Munich, an internationally renowned university with excellent connections to leading research
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision
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://mediatum.ub.tum.de/doc/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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of 5h / week during the teaching term (flexible topics) Requirements: • Master’s / PhD degree in climate, environmental, or Earth sciences • Experience in the management of scientific projects