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Field
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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an
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. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content DASHH facilitates an interdisciplinary, structured, three-year
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( e.g., "Diplom", DEA) in exceptional circumstances: excellent BSc The first step in the process of application for admission to the PhD programme at the Department of Physics and Electrical Engineering
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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PhD programme. Mobility Allowance PhD students in the Graduate School Life Science Engineering receive a mobility allowance to support their research stays abroad or their participation in national and
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 1 day ago
sciences, mathematics, physics, computer science, engineering, etc.) Fluency in written and spoken English Strong motivation to pursue a PhD degree Note: The right to confer degrees remains with
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candidates should start their research projects in April.) Only online applications are accepted. Submit application to PhD Programme in Medical Life Science and Technology | MGC (tum.de) Accommodation It’s
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages