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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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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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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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PhD Studentship: Accelerating Statistical Algorithms through Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate
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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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quantitative finance, particularly statistical arbitrage. What are you going to do? You will work 60% of the time on your PhD-project, and 40% of the time on projects at Deep Blue Capital. Those projects will be
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly