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, French, Italian, Spanish or Latin. Other languages are also possible (upon individual request). Full-time / part-time full-time Programme duration 6 semesters Beginning Summer semester Additional
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Degree Dr rer pol or PhD Course location Berlin Teaching language English Languages All courses, workshops, and other events are held in English. All communication within the programme is in English
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public holidays and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing
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. Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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to be developed. One promising research direction is the use of physics-informed deep learning, such as physics-informed neural networks or deep neural operator networks. Tasks: Work in a team on national
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline Applications for the PhD Medical Research – Cardiovascular Science are
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 21 hours ago
strategies for their present and future careers in science and enterprises. The core of the programme is an independent doctoral research project in one of the participating research groups. In
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management, writing, networking, and career advice and coaching. Course organisation The PhD training programme combines mandatory elements required for all doctoral candidates within GEAS with methods and