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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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[email protected]. Screening is part of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and
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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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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and
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semester and is largely tailored to the needs of PhD candidates. The current course offerings can be found on the IMPRS-ESM website. Doctoral candidates are required to obtain 12 IMPRS-ESM credit points
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