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the perspective of energy infrastructure. Using the existing energy system models of ICE-2, you will develop scenarios to analyze the effects on the German energy system and its robust design in a European context
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Jülich - Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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written in English. Alternatively, it may be written in German after consulting with the main supervisor. The presentation at the PhD defence has to be given in English. German knowledge will be helpful
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of the programme. The workshops and schools are conducted in English, but there are also some German-language events and seminars at LMU, the University of Basel and the University of Graz
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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-specific, integrated German language courses No Course-specific, integrated English language courses No Tuition fees per semester in EUR None Semester contribution Basic fee of 85 EUR + additional fee
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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
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You