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Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
available in the further tabs (e.g. “Application requirements”). Objective The DAAD Helmut-Schmidt-Programme (known as Public Policy and Good Governance) supports future leaders from developing countries (see
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basis. Who can apply? The programme is aimed at qualified students, graduates and doctoral candidates from North America who are carrying out research projects on German cultural studies. What is
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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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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”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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available in the further tabs (e.g. “Application requirements”). Programme Description The one-year scholarships are intended for graduates from Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Russia
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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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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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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with