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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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three Master's programmes (Biochemistry, Biomedicine, and Biomedical Data Science). MHH is part of the IDOH (Infectious Diseases and One Health) Master's programme. A structured doctoral programme for
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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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 | 1 day 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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regarding increasing atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute
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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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, 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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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