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physics, material science, electrical engineering or a related discipline In accordance with the European Union’s funding rules for doctoral networks, applicants must NOT yet have a PhD Familiarity with
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central authority. This is made possible by (digital) proof of work, which, however, comes with enormous energy consumption and CO₂ emissions. Our project transfers this principle into the physical world
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; degrees in Chemistry, Physics, Biochemistry, Chemical Engineering, or a related discipline will be accepted. At the time of the nomination (estimated January 2026), your last final exam should have taken
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" is a European Industrial Doctoral Network. With a special emphasis on technology transfer between academia and industry, “IntelliWind” aims to train the next generation of experts to develop
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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
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the Forschungsverbund Berlin e.V. and member of the Leibniz Association . The institute carries out basic and applied research at the nexus of materials science, condensed matter physics, and device engineering
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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funded by the European Research Council (ERC) Starting Grant VIBEBOT. Requirements: university degree in Engineering, Applied Physics or relevant subjects is required. An interest or experience in
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Hands-on experience in RTL to GDS flow Knowledge in synthesis and physical design