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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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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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Description The Karlsruhe Institute of Technology (KIT) and the University of Stuttgart offer within the German Research Council (DFG)-funded Research Training Group (RTG) 3076 “Sustainable
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was established in 2019 with our partner institute, the Nagoya Institute of Technology, Japan, in order to better understand lead-free perovskite materials for photo-electro-mechanical energy conversion systems
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available in the further tabs (e.g. “Application requirements”). Programme Description Students and young academics from Albania, Bosnia and Herzegovina, Croatia, Kosovo, Montenegro, North Macedonia, Serbia
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. Application location Apply directly to the chosen study programme Application and Selection Procedure Step 1: You send your complete application(s) directly to the according postgraduate course. Step 2: A
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available in the further tabs (e.g. “Application requirements”). Programme Description The Käte Hamburger Research Centre “Dis:connectivity in processes of globalisation” (global dis:connect) at the Ludwig
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citizenship Licenciatura-degree in study programmes with a minimum of eigth semesters or evidence of professional qualification within a study programme with a minimum of ten semesters. Academic excellence, you