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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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the English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with
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qualification research project Proficient writing and spoken English Motivation to drive your research project and grow towards career goals in academia or industry Excellent communication skills and the ability
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Information Centre Johannesburg: www.daad.org.za/nrf For any further assistance and information around the DAAD/NRF In-Country Scholarship programme please contact your institutions financial aid / bursary
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funded for up to three years by the German Research Foundation (DFG FI 2963/2-1). The successful candidate will participate in a research project investigating the chemical ecology of the Mediterranean
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+ programme countries and in Erasmus+ partner countries around the world. Target Group The programme is intended for students who are regularly enrolled at a German higher education institution, have
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are strengthened Who can apply? As part of the “In-Region Scholarship Programme”, the DAAD offers scholarships for PhD and Master studies. The programme is supported by the German Federal Ministry for Economic