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, prevention and treatment of diseases that result in avoidable suffering for millions of people around the world. We are seeking a Researcher to join the Neuroimaging Statistics Oxford (NISOx) research group
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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. This project aims to establish provable guarantees for Human-GenAI-Alignment by integrating statistical methods with adversarial methods. For example, by leveraging PAC methods and conformal prediction, we can
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NO2 causes an increase in O3. Statistical methodological developments are required to understand the relationship between air pollutants and health outcomes to account for both the size and nature
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Hassall, Statistics Dr Jacqueline Stroud, Warwick Crop Centre Dr Richard Everitt, Statistics Interdisciplinary Research Warwick Statistics is one of the largest Statistics departments in the world, with a
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Healthcare decision-making has previously focused on developing recommendations for single conditions. However, standardised care for each chronic condition in isolation can be inappropriate for individuals living with multiple long-term conditions known as multimorbidity, and may lead to...
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part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate will work with a comprehensive dataset spanning multiple seasons of elite competition, featuring...
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If you would like to solve real-life problems using statistics and operational research to have positive impact on business, the economy or society, then consider applying to the STOR-i Centre
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workshops.The PhD students will focus on using state-of-the-art computational and statistical techniques to shed light on the fundamental mechanisms of decision-making.We are particularly interested in candidates