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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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health implementation in low-income and middle-income countries (LMICs). The post-holder will be developing prediction models using classical statistical methods, machine learning (ML), and Artificial
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. The post-holder will be expected to have a first degree in the field of Epidemiology, Medical Statistics, or equivalent, with relevant experience in social and/or environmental epidemiology and
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; the Centre for Complex Systems; the Centre for Geometry, Analysis and Gravitation; and the Centre for Probability, Statistics and Data Science. Following a period of significant growth, the School comprises
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first degree in the field of Medical Statistics, Health Data Science or Epidemiology and relevant experience in statistics or epidemiology. Relevant analytical skills in generalised linear models and
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, ideally a doctoral degree, in demography, statistics, epidemiology or related topic. Expertise in mathematical demography, statistics or other discipline with strong quantitative components to estimate
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for Probability, Statistics and Data Science. The centre covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within mathematics and
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of nutrition data. The role will require experience in statistical analysis using STATA programming, R and analysis of dietary assessments and nutrient intake data using software such as Nutrisurvey. The goal
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Statistical Physics-based Approach ”, funded by the STFC. This is a collaborative project between Queen Mary University of London and South African partner universities in Stellenbosch and Bloemfontain
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop