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alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our
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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
structure formed in model phospholipid membranes. Beyond this, the project aims to expand such investigations to bilayer systems and also investigate the influence of lipid-protein and protein-protein
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a resilience performance modelling framework at the regional and European level. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke and Dr. Todd Snider. The project seeks to investigate cognitively plausible models
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-dimensional cell cultures are important to enable realistic cell environments for disease modeling and to analyze cell interactions. This position will address the question of how one can develop minimally