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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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modeling metabolic and inflammatory processes that drive liver disease progression. We are dedicated to advancing scientific knowledge and translating our research into real-world medical solutions, offering
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in python programming and machine learning models for molecular discovery and chemical property prediction. For informal enquiries, please contact Dr Martin-Martinez at francisco.martin-martinez
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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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research. The post is funded by the Academy of Medical Sciences. About the role The postholder will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling