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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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19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh Please note Your
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subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: Environmental Science (ENS) KU: Sustainable Land Use and Natural
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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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about doing research on topics where digital technology and sustainable development meet. The Digital GreenTalents Award supports the international exchange of innovative digital ideas and offers a great
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to the community. Eligible candidates for a scholarship are: students at a state or state-recognised higher education institution (university, university of applied sciences, college of art and music) in Germany or
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Alfred Toepfer Stiftung & Studienstiftung des deutschen Volkes: You and Europe Scholarship Programme
of applied sciences (except students at colleges of art and music and those at universities of applied sciences studying in the visual and performing arts, design, film and music) Open to students who have
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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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studies in subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: Master - Food Science (Nutritional, Domestic and Food
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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