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technologies with the long-term goals of the energy transition, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project
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Hospital, the Faculty of Chemistry and Pharmacy, Faculty of Biology, the German Center for Neurodegenerative Diseases (DZNE-Munich), Helmholtz Center Munich, the Max Planck Institutes for Biochemistry and
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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include experience with high-performance computing (HPC), initial experience with ecosystem models, willingness and ability to actively contribute to interdisciplinary teams, knowledge of climate-relevant
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project focuses on two central aspects: accelerating technology development
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and operation of the relevant equipment and systems regular participation in project meetings and active exchange with partner institutions documentation, publication, and presentation of the scientific
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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. The successful applicant will setup an intestinal organoid screening and evaluation platform for enteric viruses, including HEV. Ideally, the applicant should have experience in organoid culture and high-content