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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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. About you The appointed candidate will have at least a MSc in computer science and a very good understanding of how visual language models work and can be used in practical applications. We
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to the research publications produced in the project. About you The appointed candidate will have at least a MSc in computer science and a very good understanding of how visual language models work and can be used
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methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand
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to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand for suitably qualified doctoral
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knowledge of computational fluid dynamics 3. Knowledge of two-phase flow modelling approaches, such as flows with interfaces based on Volume of Fluid method or similar 4. A sound knowledge of the
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Kishita (University of East Anglia) and Prof Kathryn Almack (University of Hertfordshire). This post is co-funded by the ASCENT programme, and the Norfolk County Council, and targets research capacity
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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be