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the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. The Department of Experimental Diabetology(DIAB) invites
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Consolidator Project “BOTLEG – Botanical Legacies: Towards a New History and Philosophy of Virtual Herbaria”, PI Dr. Jan Baedke. This ERC project aims to help develop more historically informed, theoretically
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, to develop and interrogate biological design principles across eukaryotic systems. A central goal is to use yeast as a genetically tractable model system, followed by work in mammalian models, to establish
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development and perform moderate teaching duties. Applicants are required to hold a PhD in physics or an equivalent doctoral degree. Applicants should provide a curriculum vitae, a list of publications, a brief
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exchanges and MRV implications Work with project partners to develop novel MRV approaches Engagement with interdisciplinary team, outreach with mCDR stakeholders Your profile PhD in chemical or physical
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or early bystander adaptations to a disturbed lung microenvironment? Disease Modeling and Biomarkers: Can we develop relevant complex in vitro models to study lymphatic dysfunction, and generate biomarkers
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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of nonlinear PDEs or the development of new solver- or coupling-methods incl. their convergence analysis, but also modeling and simulation aspects across a wide range of fields - from biomechanics and geophysics
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20.02.2026, Academic staff Full-Time | TV-L E13 | ERC-funded for to 5 years | Focus on developing prompt-based next-generation AI systems for radiotherapy target volume definition Join an ERC-funded
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative