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available in the further tabs (e.g. “Application requirements”). Programme Description This scholarship was created to enable for more qualified female engineering students to pursue a Master’s degree
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Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
qualified graduates with a first academic degree are being educated in political science, law, economics and administration and prepared for future leading positions in their home countries.
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas
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, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
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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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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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Germany as part of their Master degree programme (e.g. double degree programmes) or who take part in an exchange programme at a German partner university for a year are also not eligible for funding
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Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart
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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