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Field
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of research include instrumentation, observation, data analysis and theoretical modelling. Course organisation The PhD study programme is structured. Work on the thesis research project is complemented by a
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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programme No Joint degree / double degree programme No Description/content The interdisciplinary research activities, from which you can choose a topic for your doctorate, are centred on theory and modelling
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. Programme duration 6 semesters Beginning Winter semester Application deadline 1 March Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme
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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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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
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sufficient demand. Mode of study Less than 50% online Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline For detailed information on the application procedure
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Degree Dr rer nat (Doctor rerum naturalium) PhD (Doctor of Philosophy) Course location Ulm Teaching language English Languages Our international PhD programme is only offered in English. Programme
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Languages Courses are mainly held in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Other Application deadline The annual call for applications opens 1 July and ends 15
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 22 hours ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic