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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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for the summer semester and 15 July for the winter semester Please apply directly at the International Graduate School of Science. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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groups, in particular at INW Extended visits to synchrotron facilities (DESY, ESRF) Participation in international conferences (including presenting your research results) Preparation of scientific
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, please visit: https://qbm.genzentrum.lmu.de/application/ 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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and deadlines, please visit: http://www.jsmc.uni-jena.de . 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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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 13 hours ago
for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer