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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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, educational achievement, emotional wellbeing, mental health, and quality of life. In this project we will use linked routinely collected health and education data to address gaps in our understanding about
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designing and delivering simulation studies of health facilities/systems, coordinating data-collection surveys, engaging with stakeholders, and supporting the establishment of an international learning
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information sharing in domestic abuse cases, with a particular emphasis on Clare’s Law/ the Domestic Violence Disclosure Scheme. The aims of the project are to understand how, when, in what circumstances, and
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policy evaluation as well as having interest and some experience in economic analysis. Please see the Job Description for more information. You will have had experience of: Working with qualitative and
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programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity of national health care provision through data
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measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support