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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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Applications are invited for three (3) PhD Studentships, based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit. The positions
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with sufficient statistical justification to proceed, given the available population and resources. The recommendations will also provide a tailored framework for sample size calculations specific
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– with prior experience working with administrative data. Advanced skills in database management (i.e., SPSS,Excel) as well as advanced analytic approaches (i.e., multivariate statistics) are required. SQL
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– with prior experience working with administrative data. Advanced skills in database management (i.e., SPSS,Excel) as well as advanced analytic approaches (i.e.,multivariate statistics) are required. SQL
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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
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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Research Statistics Physics Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Researcher at Susquehanna, you’ll blend