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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
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related to staff position within a Research Infrastructure? No Offer Description About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models
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, and conducting large-scale quantitative analyses of semantic change. You will work closely with Latin linguists to integrate linguistic insights into computational models and help build open-source
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linguistic insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal
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are seeking a postdoctoral research associate to lead an innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a
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innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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culture models as their primary experimental system. The project will be co-supervised by Dr Ivo Lieberam (CGTRM) and Prof Juan Burrone. About the role This role is for a qualified and experienced scientist
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response, and patient stratification. As clinical diagnostics move toward more personalised and preventative models, it is increasingly vital that sampling approaches are minimally invasive and patient