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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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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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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 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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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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, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with broad expertise in sensory biology (pain, vision & hearing) and
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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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