Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- DAAD
- Fraunhofer-Gesellschaft
- Technical University of Munich
- University of Göttingen •
- Nature Careers
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- Leibniz
- University of Bremen •
- University of Potsdam •
- University of Tübingen •
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Extraterrestrial Physics, Garching
- Ruhr-Universität Bochum •
- University of Stuttgart •
- Carl von Ossietzky University of Oldenburg •
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Friedrich Schiller University Jena •
- Hannover Medical School •
- Heidelberg University •
- Helmholtz Centre for Environmental Research - UFZ •
- Helmholtz-Zentrum Dresden-Rossendorf •
- Hertie School •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute of Microstructure Physics •
- TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz •
- Technical University of Darmstadt •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- University of Kassel •
- University of Münster •
- 25 more »
- « less
-
Field
-
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
-
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
-
technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
-
applicant must have the following: • Masters’ degree in Electrical Engineering, Mechanical Engineering, Physics or a related discipline • Experience with electronic circuits design and testing
-
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
-
mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
-
the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
-
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
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports