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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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-recognised university in Germany in the STEM subjects of mathematics, computer science, natural sciences and engineering. Study programmes with integrated stays outside Germany are excluded. Interdisciplinary
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institution in Southeast Asia. Who can apply? The target group for scholarships are graduates from Cambodia, Indonesia, Lao, Myanmar, Malaysia, Philippines, East Timor, Thailand or Vietnam with a first academic
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD and Master studies for individuals who plan to pursue a career in teaching and/or research at a higher
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD and Master studies for individuals who plan to pursue a career in teaching and/or research at a higher
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disciplines and subjects are welcome to apply. The grant amount is of up to 812 EUR each month plus 300 EUR flat rate for study costs and covers the entire course of studies. Further support includes individual
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-university research institution in Germany. Who can apply? The programme is aimed at outstandingly qualified young scientists and academics from the province of Aceh, Indonesia. What can be funded? Master's
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available in the further tabs (e.g. “Application requirements”). Objective Graduates receive a scholarship to complete a Master’s degree in Germany. Who can apply? Mexican graduates What can be funded
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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