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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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Master’s degree in biotechnology, bioengineering, bioeconomy cell biology, molecular biology, or a comparable field of study, preferably with a background in life cycle assessment (LCA) and techno-economic
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of living systems, hence, catalyzing breakthroughs in biology, medicine, and the environment. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, CBI offers state
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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07.05.2022, Wissenschaftliches Personal The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology
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15.05.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a
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interested in. The deadline for applications is March 31st, 2023. For further information, please contact: Prof. Dr.-Ing. Jakob Burger Laboratory of Chemical Process Engineering Tel. +49 9421 187 275 burger
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding