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Description The Class of Language Education within the Graduate School Language & Literature at LMU Munich offers a research-oriented and interdisciplinary doctoral program drawing on the expertise
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choose to write the doctoral thesis in either language. Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Check for current openings on our website
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programs, the focus lies on individual research projects, complemented by program specific seminars as well as an individualized curriculum comprising lab and soft-skill courses, congresses, symposia and
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Planck Institute for Astrophysics (MPA), European Southern Observatory (ESO), University Observatory Munich (USM) Teaching language English Languages The IMPRS programme is designed for international
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Theoretical Bio- and Neurophysics Nonlinear Dynamics 4. Biophysics 5. Computational Materials Science Regarding Electrical Engineering, the following institutes are part of the programme: Institute
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rerum naturalium, abbreviated to Dr rer nat) or the academic title PhD. The Department of Mathematics and Computer Science confers the academic degree of Dr rer nat. Alternatively, women can be awarded
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 19 days ago
portal for October 2026 intake. Our innovative graduate program IMPRS-MOB is set in the vibrant Rhine-Main region, connecting three leading scientific hubs: MPI for Heart and Lung Research in Bad Nauheim
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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supports all early-stage researchers across Heidelberg University, either pursuing an individual PhD or a structured PhD in the context of a doctoral programme. It is committed to excellence in training and
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characterize paralogue expression profiles, cellular dynamics and functional specialization across developmental stages. The project builds upon exciting unpublished data obtained by a previous PhD student