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for the department’s quantitative data analysis, statistical modelling and business-intelligence capability – turning large and complex datasets into rigorous, decision-ready insight on brand, products, pricing
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with rigorous research, academic expertise and analysis focused on improving outcomes. EDIT focuses on designing robust, pragmatic evaluations of complex social programmes, combining academic rigour with
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routinely collected healthcare data. Through the analysis of linked electronic health records, you will generate evidence to inform clinical guidelines, optimise prescribing practices and support healthcare
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enjoys working with business systems, data analysis and reporting. You’ll be responsible for helping ensure our systems and data are accurate, reliable and fit for purpose, while turning complex
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integrate complex financial policies and procedures, external requirements and accounting standards the ability to adapt and utilise complex Excel spreadsheets for financial reporting and analysis, budget and
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exciting scientific challenges and significant opportunities for professional growth. Research activities may include the analysis of complex genomic datasets, database development and management, project
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computational pipelines for the analysis of high-dimensional genomic and spatial-omics datasets. The successful candidate will work closely with experimental scientists to analyze complex biological datasets
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Performance Computing Clusters. Preferred Qualifications Experience in Machine Learning analysis of complex image data sets. Experience with spaceborne and ground-based astronomical imaging data sets and
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image processing, image analysis and visualization. Qualifications We seek an experienced and driven individual who collaborates well and thrives in a complex research environment. Requirements
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The post-holder will provide specialist statistical expertise and leadership to support the design, conduct, analysis, and reporting of clinical research studies within iREACH Health. The role will