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Employer
- Technical University of Munich
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Deutsches Elektronen-Synchrotron DESY •
- Hannover Medical School •
- Karlsruhe Institute of Technology •
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Max Planck Institute for Sustainable Materials •
- Saarland University
- Technische Universität Dresden (TU Dresden)
- Technische Universität München
- University of Mainz
- University of Stuttgart •
- University of Tübingen
- University of Tübingen •
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Field
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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computer scientists or life scientists who already have a training in bioinformatics and are interested in developing their career in biomedical data science. In order to be registered to the PhD programme
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/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large catalogue of electives, which comprises advanced seminars and courses in soft skills and professional skills, is
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr University Bochum or University Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is supported by a collection of emerging technologies
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School of Engineering and Management, the Technology Business School of the KIT. There is also an optional MBA Fundamentals programme, which is free for KSOP PhD students. It is structured in six units
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams and have