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voluntary online elements Programme duration 8 semesters Beginning Other Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 10 days ago
-Associated Diseases (CECAD), the University Hospital and the Max Planck Institutes for Biology of Ageing and for Metabolism Research. We offer up to 12 FULLY FUNDED PHD POSITIONS to highly motivated and
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programme No Description/content Building upon the increasingly strong links between physics, chemistry and the life sciences, the programme aims at advancing the quantitative and molecular understanding
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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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Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
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for Clinical Brain Research, German Centre for Neurodegenerative Diseases, Bernstein Centre for Computational Neuroscience, Centre for Mental Health, Centre for Neurosensory Systems, Natural & Medical Sciences
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interdisciplinary doctoral programme of the Institute for Employment Research (IAB) and the School of Business, Economics and Society of Friedrich Alexander University Erlangen-Nuremberg. It is specialised in labour
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of the following degrees to enter the programme: Entry level with an MSc: Applicants must hold an MSc or equivalent degree in medicine, biology, engineering, psychology or related subjects. Entry level for TUM