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- Ludwig-Maximilians-Universität München •
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visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en
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an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding
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, Study of Religions, and Philosophy of Religion. https://www.en.buddhismus-studien.uni-muenchen.de/index.html Additional support is offered by the GraduateCenter. Course organisation The PhD programme
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students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study/important-contacts
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Degree Dr Course location München Teaching language English Languages The programme at the MGSE is entirely taught in English. Programme duration 9 semesters or more Beginning Winter semester
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visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en
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laboratory. All training elements are taught in English. The PhD programme is integrated in and supported by a network of PhD students, postdocs, and supervisors with various scientific backgrounds. PDF
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semesters Beginning Winter semester Application deadline https://www.en.idk-philologie.uni-muenchen.de/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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, visit https://www.uni-potsdam.de/en/career-service . Support for international students and doctoral candidates Welcome event Buddy programme Tutors Visa matters General services and support for
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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