459 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" PhD positions in Germany
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by post to: Gottfried Wilhelm Leibniz Universität Hannover RTG 3158: Quantum Photonics Laboratory of Nano and Quantum Engineering Schneiderberg 39, 30167 Hannover Germany http://www.uni-hannover.de/en
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nationalities. Your application Find details about the IMPRS, our research, and our online application procedure at: https://www.mpimp-golm.mpg.de/IMPRS-PhD Closing date for applications: 10 January 2026, 23:59
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent network on international
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 3 hours ago
Job Code: 2026_07 Job Offer from January 16, 2026 The Max Planck Institute for Heart and Lung Research (Dr. Karin Ziegler) in Bad Nauheim (near Frankfurt, Germany) invites applications for a PhD
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Degree Dr rer nat and Dr nat med Course location Köln In cooperation with CECAD Cluster of Excellence, University Hospital Cologne, Max Planck Institute for Biology of Ageing, Max Planck Institute
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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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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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-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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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