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second stage of the admissions process. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content Compelling for its
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 18 hours ago
the University of Konstanz Teaching language English Languages The entire course is taught in English. German is not required, but it is recommended to learn the German language so as to increase integration
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of Münster (like most German public universities) does not have its own student halls of residence. Structured research and supervision Yes Research training / discussion Yes Support for international students
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period of 10 days optional activities such as mini-symposia, excursions, workshops, and key competence seminars In addition, students have to pass one intermediate evaluation after the first year of
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 17 hours ago
at the German Cancer Research Center (DKFZ) with its core site in Heidelberg offers state-of-the-art research opportunities at the forefront of basic, computational, epidemiological, and translational cancer
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conflicts following the end of the Cold War are just one example. The programme trains junior researchers and professionals in globalisation research. It qualifies them for employment, among others, in
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Your Job: The transformation of the European energy system to greenhouse gas neutrality will promote independence from fossil fuels. However, it raises the question of how to deal with emissions
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Start of announcement 21.05.2025 End of announcement 22.06.2025 Institute or department Institute of Surface Science Location Geesthacht Hydrogen economy promises a source of clean energy, but it
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer