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Field
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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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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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doctoral programme in Health Data Sciences for outstanding junior researchers is to provide a structured framework of studies, research, and teaching for promising scientists in the disciplines of Health
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of the doctoral candidates. This programme addresses not only successful mediation processes but also and especially the interferences and competitive relationships, the crises and the failures as well as those
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Faculty 08: Philosophy and History Faculty 09: Linguistics, Cultures, and Arts Faculty 10: Modern Languages Faculty 11: Geosciences and Geography Faculty 12: Computer Science and Mathematics Faculty 13
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 5 days ago
in English and German language courses. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see our
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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deadline You can apply any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Auditory Sciences: Physics and
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Languages The general working language in the Berlin School of Economics is English. All courses are held in English. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester