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. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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Degree Dr-Ing or Dr rer nat Course location Karlsruhe Teaching language English Languages Courses are held in English (100%). Full-time / part-time full-time Programme duration 6 semesters Beginning
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Degree Dr rer nat/PhD Course location Göttingen Teaching language English Languages English Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 2 hours ago
the oral defence takes place in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Application deadline There are no application deadlines
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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scientific education, strengthening personal competences as well as networking with international peers) are organised and coordinated. Since October 2013, courses within the PhD programme in Auditory Sciences
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline Applications for the PhD Medical Research – Cardiovascular Science are
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 1 day ago
not required to be admitted, but German language courses are offered for free for interested PhD students. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral
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geoinformatics in addition to scientific computing. By using the tools of informatics in this subject, anyone can study or model objects, structures, regulatory networks, or processes (signals, materials and