125 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" scholarships at DAAD
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants come from countries in the Global South (Asia, Africa, Latin America), post-Soviet states as well as eastern
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available in the further tabs (e.g. “Application requirements”). Programme Description The Studienstiftung sponsors students whose talent and personality shows exceptional promise for contributing
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available in the further tabs (e.g. “Application requirements”). Programme Description The Boehringer Ingelheim Fonds offers doctoral fellowships to outstanding junior scientists who want to conduct
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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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available in the further tabs (e.g. “Application requirements”). Programme Description Students and young academics from Albania, Bosnia and Herzegovina, Croatia, Kosovo, Montenegro, North Macedonia, Serbia
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available in the further tabs (e.g. “Application requirements”). Objective The research grant offers the opportunity to realise a research project in Germany. The programme sup-ports research stays during a
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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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available in the further tabs (e.g. “Application requirements”). Programme Description The Hans Böckler Foundation is the institute of the German Federation of Trade Unions (DGB) to promote research and
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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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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background