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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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. 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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-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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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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. Programme duration 6 semesters Beginning Winter semester Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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://mpl.mpg.de/study-work-or-visit/graduate-programs/how-to-apply/phd-positions . Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme Yes
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 12 hours 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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Skills/Qualifications Candidates must hold a University Master’s Degree in any discipline that makes them eligible for a PhD in textile engineering, e. g. textile engineering, chemistry or biochemistry and
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering