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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 13 hours ago
-cpqm.mpg.de/apply-now . Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes for future professionals We offer regular workshops related to career
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centres of the University of Tübingen, its Faculty of Medicine and the Max Planck Institutes on the “accommodation ” pages of the Tübingen Research Campus. Structured research and supervision Yes Research
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-bonn . Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes for future professionals The University of Bonn has a central career service
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of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
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its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology
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. The Institute of Turbomachinery and Flight Propulsion is pursuing research in technologies of future aero engine architectures for the next generation of aircraft. In this context, the development
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. The PhD programme is structured into individual epidemiological research activity, on the one hand, and accompanying mandatory educational programme (minimum 300 teaching units), on the other hand. The
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 13 hours ago
. The second phase of the programme is dedicated to the research and writing of the thesis. These years provide a structure of guided independence, allowing students to concentrate on their research and receive
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outstanding position as a university that is recognized in the areas of science and engineering. Our group “Sustainable Energy Materials” concentrates on the understanding of structure-performance indicators in
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages