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Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements Top-ranked
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engineering) and have previously completed your master's degree in a technical field, such as mechanical engineering, computer science or electrical engineering, with good grades. Experience in scientific
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: https://ap-rg.eu/ The researcher will contribute to teaching activities at TUM. The position is for one to three years and carries monthly salary with full benefits (according to TVL-13). Required
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encouraged to consult the following link: https://ap-rg.eu/ The researcher will contribute to teaching activities at TUM. The position is for one to three years and carries monthly salary with full benefits
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Production Technologies (m/f/d) Faculty of Engineering and Computer Science | as soon as possible Reference number: iwin-w-8 | Renumeration corresponds to grade W2 BayBesG Your area of responsibility
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für diese Mensch-KI-Kollaboration und integrierst sie in die Leitwarten-Schnittstelle. Dein Profil Sehr guter Masterabschluss in (Medien-) Informatik, Mensch-Computer-Interaktion, Robotik
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mathematics, computer science, physics, geoinformatics, data science, or relat-ed fields Ability to work independently, willingness to learn and acquire new skills Interest in working in a highly
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summary, you bring with you: -A Master's degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics
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topic over a longer period of time. In summary, you bring with you: -A Master's degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science
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assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with colleagues to implement the solution in