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key role in driving high-impact research, developing innovative objectives, and formulating proposals within cutting-edge fields, including Computer Vision, Digital Healthcare, AI Optimization, and
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with stillbirth, ultimately enabling real-time, objective in-home monitoring to identify at-risk pregnancies. This aim of this role is to develop a biophysical computational model which is capable
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
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the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing proposals
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-funded project entitled “A continually-learning framework for uncertainty quantification and translation of preclinical studies to human cardiovascular safety”. The central aim of the project is to develop
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project entitled “A continually-learning framework for uncertainty quantification and translation of preclinical studies to human cardiovascular safety”. The aim of the project is to develop a statistical
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of Nottingham Ningbo China, contributing to the development of the university’s research agenda. Your Responsibility Your key responsibilities include: Design and Develop Research: Formulate clear research
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the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing proposals
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools