547 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD positions in Germany
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of the Biomaterials and Tissues of the Future. https://cordis.europa.eu/project/id/101226431 This network has 8 host institutions hiring doctoral candidates: Uppsala University, Universitat Politecnica de Catalunya
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specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our
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receive active support in applying for external doctoral funding. Application deadline: December 7, 2025 Further information and access to the online application portal are available at: https
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
comprehensive range of training and networking opportunities via the JuDocs doctoral platform: https://www.fz-juelich.de/judocs Targeted services for international employees, e.g. through our International
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you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76059
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nitrogen economy and addressing one of today’s most urgent environmental and energy challenges: https://www.fz-juelich.de/de/iet/iet-1. We are offering a PhD Position – Design and Integration of Efficient
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-IDI Coordination Office (imprs-office@mpiib-berlin.mpg.de ) Where to apply Website https://jobrxiv.org/job/max-planck-institute-for-infection-biology-imprs-idi-27… Requirements Additional Information
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range of advantages like access to student dorms, a "mensa" (student dining hall) discount, free public transport, a campus card, and more. The semester fee is approximately 250 EUR. https://www.uni
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of PhysicsCountryGermanyCityFreiburgPostal Code79104StreetHermann-Herder-Strasse 3Geofield Contact City Freiburg (Breisgau) Website https://www.softmatter.uni-freiburg.de/arbeiten/pos1-2025/view Street Hermann Herder Strasse 3 Postal Code
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning