272 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at DAAD in Germany
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are among others: above average academic performance personal suitability for the programme and its objectives knowledge of the German language (at least level B1) good command of English The selection
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available in the further tabs (e.g. “Application requirements”). Programme Description The one-year scholarships are intended for graduates from Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Russia
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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available in the further tabs (e.g. “Application requirements”). Programme Description How can digitalisation contribute to a more sustainable future at a time when global climate change is challenging our
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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 a
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Research, Technology and Space (BMFTR), is complemented by comprehensive networking measures and the establishment
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basis. Who can apply? The programme is aimed at qualified students, graduates and doctoral candidates from North America who are carrying out research projects on German cultural studies. What is
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available in the further tabs (e.g. “Application requirements”). Programme Description This Research Training Group (RTG) offers an integrated research and graduate programme for PhD and MD students
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background