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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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in the STEM subjects of mathematics, computer science, natural sciences and engineering. Interdisciplinary degree programmes must have a designated STEM focus. It must be a tuition-free Master's degree
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. Apart from previous academic achievements, the most important selection criterion is a convincing work and study plan for the visit to Germany, which has been coordinated with an academic advisor
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available in the further tabs (e.g. “Application requirements”). Programme Description SECAI scholarships were created to support outstanding students who intend to study AI or a related field at TU Dresden
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your academic education in Germany with a postgraduate course
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to support young scientists and academics in Aceh in the aftermath of the 2004 tsunami and help promote
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programmes at RWTH International Academy: M. Sc. Computer Aided Conception and Production in Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc
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experience in their career field. They have furthermore been admitted to one of the following Master’s degree programmes at RWTH International Academy: M. Sc. Computer Aided Conception and Production in
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if they study or plan to study in Germany. It is not possible to apply solely for a Master's degree programme. Master's degree programmes can only be funded if the students have already been 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