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learning and digital education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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of the community Excellent organisational skills, with the ability to plan and prioritise own workload to meet project targets Competence in quantitative research methodologies and statistical analysis Capacity
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include experience in scientific programming and data computing, signal processing, statistical analysis. Knowledge of mathematical methods and numerical analysis are an asset. The candidate will be asked
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psychological assessments, collecting and maintaining high quality, valid and reliable clinical activity and outcome data and appropriate statistical and data management information. Supporting the Research Co
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members of the community 4. Excellent organisational skills, with the ability to plan and prioritise own workload to meet project targets 5. Competence in quantitative research methodologies and statistical
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the UK. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination. You should have post-graduate training and/or significant work experience in
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. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses
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related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g
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migrants in Wales, without Welsh or English as a first language. The research will incorporate a mixed-methods approach. This may include a quantitative approach (i.e. statistical data analysis) and a