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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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Description/content The Graduate School Life Science Engineering provides an exceptional interdisciplinary educational programme for highly qualified international scientists and students. Our programme is
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for the advancement of their careers. It offers access to a network of internationally renowned scholars, support for young scholars, and access to local, national, and international resources. Moreover, the programme
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 4 hours ago
next career steps. The programme consists of four areas: Networking Subject-related qualification Scientific techniques Transferable skills training Financial Support: GRS provides PhD candidates with
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dissertation is often written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No application deadline Tuition
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Degree Dr rer pol or PhD Course location Berlin Teaching language English Languages All courses, workshops, and other events are held in English. All communication within the programme is in English
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information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image