293 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "P" positions at DAAD
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of dysplasias in the interplay of distinct CNS cell types” offers an integrated research and graduate program for Ph.D. and M.D. students at the Medical and Mathematical and Natural Sciences Faculties
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to complete your doctoral degree in Germany. The scholarships are funded by
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at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate School Scholarship Programme). The scholarship of up to four years includes a monthly instalment, language
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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academic degree) in the field of Economics and Business Administration at the latest by the time you commence your scholarship-supported study programme. What can be funded? A complete Master's degree
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a strong focus on translational research You will be a member of the graduate program at TUM, which will give you the opportunity to participate in various workshops (scientific and soft skills
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available in the further tabs (e.g. “Application requirements”). Objective This programme aims to deepen knowledge of the German language (general language, technical language) and regional studies. Who can
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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available in the further tabs (e.g. “Application requirements”). Programme Description Up to 120 sponsorships for young graduates from 50 nations are awarded every year by the German Federal Parliament
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science