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either English or German. Some additional courses may be in German. Some events, such as internal lab meetings, etc., may also be in German. Programme duration 6 semesters Beginning Only for doctoral
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in English (10%). Participants can choose to write their exposé in either language. Mode of study 50 / 50 online and on-site Programme duration 6 semesters Beginning Only for doctoral programmes: any
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 2 days ago
Heidelberg Teaching language English Languages Working language: English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information
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can also be written in English. The RTG uses English as its main language. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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environment at the University of Kassel. Its offers are open to all academics and artists in the qualification phase at the University of Kassel. Further training / transferable skills Kassel Graduate Programme
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instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme duration 8 semesters Beginning Winter
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, Johannes Gutenberg University Mainz, and Technische Universität Darmstadt. Teaching language English Languages Courses are held exclusively in English. Full-time / part-time full-time Programme duration 8
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and