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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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violence and young people’s sexual cultures Supporting the design, administration and management of a large-scale quantitative survey, including data handling and preparation for analysis Assisting with
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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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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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, 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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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing
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, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources. Apply artificial intelligence and large
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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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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in