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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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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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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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become part of an exciting project at the Senckenberg Museum of Natural History Görlitz (Saxony, Germany). We are looking for a motivated environmental data modeler – data scientist (m/f/d) to support the
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Junior research position or post-doctoral position (m/f/d)(Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture