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problems thereby achieving productive and meaningful progress. Method Courses: In method courses, PhD students learn up-to-date methods directly linked to the individual PhD project. Summer Academy: In
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areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half-year modules, students concentrate
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of living Studying in Jena is tuition-free. Costs (per month) vary depending on individual circumstances: rent and food: 550 EUR, books and learning materials: 50 EUR, health insurance: 120 EUR, other
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Theory and Methods of Source Analysis Early Childhood Education, Development, and Socialisation Foreign-Language Teaching/Learning with Digital Distribution and Communication Media Holocaust & Remembrance
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-free. Costs (per month) vary depending on individual circumstances: rent and food: 550 EUR, books and learning materials: 50 EUR, health insurance: 120 EUR, other expenses: 180 EUR, total: 900 EUR
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% of which are female), among them 270 professors (32% of which are female), who teach and carry out research in a wide range of disciplines. We have a long established tradition in interdisciplinary
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
research topic, which is assigned to one of the chairs offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
of the research areas offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is provided to prepare students for the doctoral
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially