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- Humboldt-Stiftung Foundation
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thesis may be conducted in German. Full-time / part-time full-time part-time (study alongside work) Programme duration 9 semesters or more Beginning Winter semester Additional information on beginning
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courses are held in English. Programme duration 6 semesters Beginning Winter and summer semester Application deadline SICSS recruits new doctoral candidates through job postings of the "Climate, Climatic
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of scientific findings as a basic principle. KIT's research and innovation activities are in line with the federal government's high-tech strategy and the continued Joint Initiative for Research and Innovation
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(Everyday Activity Science & Engineering). The IRTG offers measures and activities to ensure and safeguard that doctoral candidates receive the best possible support in the start-up phase of their careers
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Start your online nomination or continue your nomination in "My Humboldt" Online nomination Continue nomination The Alexander von Humboldt Foundation presents approximately 20 Friedrich Wilhelm
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dissertation and is a first research activity after graduating. It is also a step towards a scientific career. Therefore, the GS SimTech offers early career counselling. You will find bundled information and
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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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sufficient demand. Mode of study Less than 50% online Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline For detailed information on the application procedure
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Create an online nomination or continue, if you have already created and saved an online nomination form. Start online nomination Continue nomination Every year, the Alexander von Humboldt
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and societies. Other Nominees must always abide by the rules of good scientific practice (PDF) and the principles of scientific ethics. The foundation provides information on dealing with generative AI