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the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete
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PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using
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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening
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Reference Number 234/35/049 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your function The Center for Statistics (CenStat, research group within DSI) is looking
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? Then this is the PhD position for you. Your job The department of Methodology and Statistics has a job opening for a PhD candidate. In this position, you will develop novel statistical algorithms
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seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study
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and experimental and clinical oncology, is committed to develop novel methodologies combining mechanistic and statistical modeling to be ultimately applied at bedside. The PhD theme and datasets The aim