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Computer Science Department at RPTU Kaiserslautern-Landau. Students receive a first-rate, fully-funded, research-oriented education in their chosen area of specialisation. They enjoy close supervision by world
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/ part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 6 semesters Beginning Winter semester Application deadline Please check the HDS PhD website in autumn
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Max Planck Research School for Chemistry and Physics
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extend our existing projects. A fully funded PhD position is available in the Sugimoto lab. The student will work on one of the following two projects: 1. Oxygen-dependent regulation of phase separated
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 1 day ago
programme No Description/content Join our fully-funded international PhD programme in neuroscience! The International Max Planck Research School for Brain and Behaviour is a unique collaboration between the
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applications for a fully funded PhD position in Behavioral Biology (m/w/d) We are in search of a PhD candidate to conduct research within the project “Linking social and communication networks in ring-tailed
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content All coursework is science-based, and all courses require basic knowledge in
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). Please also plan ahead to inform and get consent from two academic referees who agree to submit reference letters on your behalf. Applications for the PhD programme in Solar System Science may be
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the