12 network-engineer Postdoctoral positions at Technical University of Munich in Germany
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quantum networks” (TV-L E13) (f/m/x) for the project "6G and Quantum Technology (6GQT)", which is being funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. ). The
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. German language is not required. The successful candidate will have the opportunity to work on an exciting and diverse project within a nationwide research network, with numerous opportunities for development
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of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
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28.11.2023, Wissenschaftliches Personal The Institute of Automotive Technology is looking for a talented postdoctoral fellow in the field battery research aiming to continue his/her excellent
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of future communication networks”. TU Dresden and the Technical University of Munich have joined forces to form the 6G-life research hub in order to drive cutting-edge research for future 6G communication
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” at Technical University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning