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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
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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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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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investigate the role of novel candidate genes in cardiovascular disease using in vitro cell based models, molecular, and biochemical techniques. Your responsibilities will include generation, maintenance and
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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for
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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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designed to inform both researchers and practitioners. The resulting dataset, open-access and user-focused, will directly support advanced flood risk modelling, hydrological predictions, and adaptation
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funded by eBay which aims to create a framework to support vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve
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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