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for Clinical Brain Research, German Centre for Neurodegenerative Diseases, Bernstein Centre for Computational Neuroscience, Centre for Mental Health, Centre for Neurosensory Systems, Natural & Medical Sciences
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reasonably fluent in at least two of the three languages of the programme. If necessary, knowledge in the one remaining language can be acquired by attending courses during the first and second years
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | about 1 month ago
(DESY), Universität Hamburg (UHH), and the European XFEL (EuXFEL). Teaching language English Languages English Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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Degree PhD, Dr sc agr, Dr rer nat (doctoral studies with a focus on natural sciences), or Dr rer pol (doctoral studies with a focus on economic sciences) Course location Göttingen Teaching language
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submit NOKUT approval of their master’s degree The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be admitted to the PhD program. See admission requirements: PhD
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Altersforschung: Fritz-Lipmann-Institut e.V. (fli) HKI (Hans Knoell Institute) Leibniz IPHT (Leibniz Institute for Photonic Technologies) Teaching language English Languages Courses are held in English. Programme
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Degree PhD Doctor of Philosophy Course location München Teaching language English Languages English only Full-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer
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) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see the
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Degree PhD "Medical Research", Dr rer nat, Dr rer biol hum, Dr med Course location München Teaching language English Languages Courses and lectures are held in English. Programme duration 6
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins