481 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" PhD scholarships in Germany
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Nanoscience: Synthesis of Carbon-Nanostructures on Inert Surfaces Biophysics: Learning
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Description/content Candidates will prepare a doctoral thesis in the field of neuroscience (project duration: four years). Research topics are olfaction, vision and acting, robotics, learning and memory
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funding via an employment contract with the Max Planck Institute for the History of Science (MPIWG) or with Technische Universität Berlin and will have the possibility to teach. Two employment contracts
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structured continuing education ( https://www.fz-juelich.de/en/judocs ) Targeted services for international employees, e.g. through our International Advisory Service The position is for a fixed term of 3,5
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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programmes: any time Application deadline 15 January, 15 May and 15 September of each year See the website for details: https://medical-neurosciences.charite.de/en/application_admission
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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/ part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de