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domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning
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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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development. Target 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
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or doctoral degree programmes at select universities or universities of applied sciences in Germany Duration of the funding Master's degree: maximum of 2 years Doctoral degree: 3.5 years, in exceptional cases 4
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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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19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: [email protected] WWW: https://www.daad.org.cn/zh Please note Your
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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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Mexican and German scientists and academics. Further information Comecyt - Consejo Mexiquense de Ciencia y Tecnologí¬a Website: https://g.co/kgs/sSYfhBy Email: [email protected]
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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