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/ double degree programme No Description/content The Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE) is an international doctoral programme that was established in May 2007
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neurosensory science, hearing research, communication technology and auditory rehabilitation within the Cluster of Excellence "Hearing4all". We provide a structured, three-year doctoral programme focusing
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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on the interplay of liquid and solid components and energy in biological materials and how properties of these materials emerge from their structure. Your tasks In this experimental project, we will investigate how
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 19 hours ago
researchers. The doctoral research topic, which is assigned to one of the chairs offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 19 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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Course location Hannover Description/content In 2003, the MHH founded Hannover Biomedical Research School (HBRS) as an “umbrella organisation” for existing and future structured postgraduate
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manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile: Excellent master`s degree in engineering, materials science, industrial engineering, energy