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. The PhD students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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neuroscience. For details on current research projects, see: http://www.ruhr-uni-bochum.de/igsn . The study programme includes a semester-wide neuroscience lecture "From Molecules to Cognition", oral and written
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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students. Programme duration 6 semesters Beginning Winter semester Application deadline 15 July Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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. Faculties Humanities Social Sciences, Economics, and Business Administration Human Sciences and Education Information Systems and Applied Computer Sciences Financial support Yes Structured research and
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for networking. Training: Personalised and Responsive Close personal supervision by three professors Individual and flexible course programme Methodological and theoretical courses A Community of Scholars Inter
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with experimental, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation
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of the University of Bremen: Production Engineering, Business Studies / Economics, Mathematics / Computer Science, Physics / Electrical Engineering, and Law. Associated partners are the BIBA – Bremer Institut für
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 23 hours ago
in English and German language courses. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see our