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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
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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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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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, 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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Resource Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management
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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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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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supports studies in subject areas with strong relevance to national development. The scholarships at UGM are available in the following fields: Master Programme in Geological Engineering Female applicants
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first academic degree if applying for a Master’s programme, who want to pursue Master’s courses, at the Asian Institute of Technology (AIT). What can be funded? The In-Country/In-Region Scholarship