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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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analyses of quantitative data Preferred qualifications Experience working with large and/or longitudinal datasets Experience with statistical programming (e.g. R or similar software) Experience with coding
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remaining 50% on multidisciplinary research related to large load site selection and energy/resource strategies (demand-side analysis), including emerging topics such as data center energy needs
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approaches, you will investigate how gene expression variability drives drug-tolerant subpopulations. This role sits at the intersection of molecular genetics, chemical biology and data science, with strong
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, gender-based sexual violence and young people’s sexual cultures Supporting the design, administration and management of a large-scale quantitative survey, including data handling and preparation
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, gender-based sexual violence and young people’s sexual cultures Supporting the design, administration and management of a large-scale quantitative survey, including data handling and preparation
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., inverse probability weighting, or doubly robust approaches). They should be confident working with large-scale datasets in R or Stata, including data management and multiple imputation, and committed
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. Requirements PhD in Education, Psychology, Child Development, Statistics, or a related field. Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and
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and their experiences of education. The post offers an exciting opportunity to contribute to the final stages of large-scale project that aims to understand what processes are linked to the mental
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, administration and management of a large-scale quantitative survey, including data handling and preparation for analysis Assisting with qualitative data collection, including recruitment, interviewing and