53 channel-coding-electrical-engineering PhD positions at Technical University of Munich in Germany
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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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School of Science and Engineering (IGSSE) at TUM: link . Research topic: Energy system models play a crucial role when it comes to designing future sustainable and resilient energy systems. Climate change
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its affiliation to the Technical University of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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the case of essentially reciprocal suitability, severely-disabled applicants as defined SGB IX will be preferred. Please address any questions on current topics to Dr. Melanie Köhler (m.koehler.leibniz-lsb
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our current knowledge further. We are looking for an individual with a
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of the Technical University of Munich. In our group, we advance ethical practice and theory in medicine, bio-medical technology, and public health, driven by the belief that embedding ethics is essential for shaping
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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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