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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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Group PhD students and students in the final year of a Master's degree with a strong focus on research topics combining digital technology and sustainability Academic Requirements current enrolment in a
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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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application procedure occurs online through the DAAD Portal. Please note that the access to the application portal only appears while the current application period is running. After the application deadline
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references, current certificate of enrolment, proof of social involvement, 2 academic letters of recommendation, a copy of your passport and current transcript of records Additionally for doctoral candidates
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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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Sciences) UPM: Master - Food Science/Food Science and Technology (Nutritional, Domestic and Food Sciences) UGM: Master - Food Science/Food Science and Technology (Nutritional, Domestic and Food Sciences
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in the following fields: MTech in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in
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excellence, but also aims to improve internationalisation and diversity in AI related teaching programmes. Target Group highly qualified (current or prospective) Master's students who have achieved excellent
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Resource Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management