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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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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 24 days ago
position is initially for three years, and PhD students will participate in the IMPRS program. Salaries will be paid at German civil service rates (TVöD-Bund, 65% of E13). The position is part of the eROSTEP
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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/index.html Teaching language English Languages The course language is English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline Annually on 15
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. Detection and imaging of electrical signals in neurons, the cells performing computation in our brain. You will work towards this goal by one of two complementary approaches: testing new quantum materials
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research and start a career as a postdoc at our institute. We offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career and development program that includes
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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Degree PhD Course location München In cooperation with Elite Network of Bavaria Teaching language German English Languages German and English Mode of study Less than 50% online Programme duration 8
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Degree Dr phil Course location München Teaching language German English Languages Courses and work meetings are mainly held in German (80%). Some academic events such as conferences, lectures, etc
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Master's theses participation in national and international research projects The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI