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available in the further tabs (e.g. “Application requirements”). Programme Description The ESV scholarships are open to protestant students from all disciplines and subjects wishing to study full-time at a
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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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for relatives refugee background extensive employment required to finance studies. For further information on the selection procedure, please refer to the Important Scholarship Information / Section E
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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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or Master's theses: 6 months doctoral theses: 2 years with an option to renew the sponsorship for 1 year at the most Scholarship Value Diplom or Master's theses: 250 to 600 EUR per month over a period of 6
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarship is aimed at refugees who are studying at German institutions of higher education. Candidates from all
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to contribute to sustainable development. To this end, scholarships are granted for development-related Master studies for individuals who plan to pursue a career in teaching and / or research at the IIT in Delhi
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to contribute to sustainable development. To this end, scholarships are granted for development-related Master studies for individuals who plan to pursue a career in teaching and/or research at a higher education
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## The application procedure occurs online through the DAAD portal. Applications for this scholarship programme are possible in the period June until the stated application deadline. Please note that the access
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scholarships are intended to support outstanding students who are studying AI related subjects so they are able to focus on their studies. relAI offers a cross-sectional training for successful education in AI