292 programming-"St"-"FEMTO-ST"-"UCL"-"University-of-St"-"St" positions at DAAD in Germany
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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 The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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fundamental mechanisms of life? The International Max Planck Research School (IMPRS) “From Molecules to Organisms” invites motivated young scientists to join a world-class, fully funded PhD program that
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Description The Class of Language Education within the Graduate School Language & Literature at LMU Munich offers a research-oriented and interdisciplinary doctoral program drawing on the expertise
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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”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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Description The Class of Language within the Graduate School Language & Literature at LMU Munich offers excellent conditions for doctoral research. Our program combines a research-oriented and
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multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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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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project work plan and milestones Your profile Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning