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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
independently Good cooperation and communication skills and ability to work as part of a team Excellent skills in spoken and written English Strong motivation for pursuing a Ph.D. degree within three years in a
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Degree Dr phil PhD Medical Research Dr med Dr rer nat Course location München In cooperation with DFG Teaching language German Languages The working language of the programme is German, so a German
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language. Programme duration 6 semesters Beginning Winter and summer semester Application deadline 31 May (winter semester) 30 November (summer semester) Tuition fees per semester in EUR None Combined
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, the students have the opportunity to write in their official language. The oral examination will be in German or English. Programme duration 4 semesters Beginning Only for doctoral programmes: any time Tuition
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Research Training Group (GRK2859) “R-loop Regulation in Robustness and Resilience (4R)” ( https://4r-rtg.de ), funded by the German Research Foundation (DFG). 4R investigates how R-loops regulate biological
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is part of 4R Research Training Group (GRK2859) “R-loop Regulation in Robustness and Resilience (4R)” ( https://4r-rtg.de ), funded by the German Research Foundation (DFG). 4R investigates how R-loops
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Degree PhD Medical Research Course location München Teaching language English Languages Courses are mostly held in English. Programme duration 6 semesters Beginning Winter semester Application
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University of Education Freiburg • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 20 hours ago
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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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for