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statistical methods, data analysis and regression modelling. You will have experience using large complex datasets, data linkage, data cleaning, and the capacity to write high quality journal articles and
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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Agency. The project aims to use energy and air quality modelling, indoor environmental quality data, large health data sets, and co-creation and engagement with schools and other stakeholders to provide
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We are seeking a Research Fellow – Statistical Data Scientist to join the Big Data in Health Group at the University of Southampton. The Fellow will work on a UKRI-funded project investigating how
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-learning methodologies to create fast emulators of large-scale geophysical models. The specific goal is to develop an emulator of the MIT general ocean circulation model (MITgcm) for a regional configuration
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patients to determine the baseline variability of the measures used for this project. This is a large unique dataset with approximately 200 sessions of data acquired. The Fellows will also contribute
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records