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Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
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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
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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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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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and satellite-based remote sensing data Presentation of your results on conferences and publications in scientific journals REQUIREMENTS: An above-average degree in mathematics, computer science
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for geospatial data acquisition in which we support (in a project with partners from the computer engineering domain) the development of novel AI chips made in Germany by providing use-cases and investigating
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research group for which you are expected to hire two PhD students (both TV-L E 13), who will be funded by MCML. Required Qualifications: Outstanding PhD in the area of informatics, artificial intelligence
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technical field, such as mechanical engineering, computer science, transportation systems, or civil/environmental engineering with a focus on traffic engineering, with very good grades. You bring solid
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience