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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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effectively and efficiently with large scale electronic healthcare data (such as CPRD, MINAP, HES) applying advanced statistical modelling and causal inference techniques. What we offer in return 26 days
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. The University of Leeds is part of a large consortium of 24 partners from 7 European countries, consisting of leading international universities, research organisations and leading international energy companies
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will engage in implementation science research, analyses of large claims and electronic health record data sets, pharmacy data, social determinants of health, for epidemiologic and pharmacoeconomic
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communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
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degradation understanding, especially for micro-mobility systems. It also looks at building the capability of management of large volumes of multimodal data by designing and validating efficient and scalable
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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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-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