62 master-"https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at Technical University of Munich
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%, available from October 2026 Your profile Completed master studies in the field of forestry, ecosystem management, simulation modeling or related fields Interested in the diversity and resilience of forests
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: adrian.doerfler@tum.de More Information http://www.mos.ed.tum.de/nma
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: friedrich.esch@tum.de More Information http://www.ch.nat.tum.de/pc
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: The successful candidate will pursue a PhD while actively contributing to the NEO project. Tasks include, in particular: • Conducting original doctoral research on ethical, legal, and societal aspects of NeuroAI
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description of your research interests and your motivation for the application ▪ Master thesis and up to 3 publications (if available) ▪ Contact information for two references Contact Prof. Holger Boche
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for the application ▪ Master's thesis and up to 3 publications (if available) ▪ Contact information for two references Contact Prof. Holger Boche Technical University of Munich School of Computation, Information and
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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not have resided or carried out her/his main activity (work, studies, etc.) in Germany for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short