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staff position within a Research Infrastructure? No Offer Description MATCH consortium is looking for outstanding and motivated Doctoral Candidates (DCs) with the skills, knowledge, and enthusiasm
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27.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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                University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
Patient-derived organoids are the hallmark of personalized medicine with seemingly endless possibilities to match the right treatment to the right patient. As organoid data are often longitudinal in
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studies viral infections in animal models and in models of primary human cell infections to develop innovative vaccination and immunotherapeutic strategies Project description: Cytomegalovirus (CMV) is the
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Research Infrastructure? No Offer Description We are looking for a researcher to work on the finite element modelling of the interaction between textile materials (yarns and fabrics) and textile
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                Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
scenarios will be generated. These forecasts will feed into a generic multi-objective optimization model under uncertainty, designed to determine appropriate levels of human and material resources. The model
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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MATCH Doctoral Network, a Marie Skłodowska-Curie Actions (MSCA) project funded by the European Union, is currently recruiting highly motivated candidates for fully funded PhD positions across top
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling
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, and in collaboration with Previsico Ltd. and the US Geological Survey, the researcher will combine fieldwork, remote sensing, and modelling (using CAESAR-Lisflood) to quantify how burned landscapes