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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in
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, develop risk models, and help generate new hypotheses to inform future therapeutic strategies. The role offers a unique opportunity to bridge data-driven insight with translational cardiovascular research
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using these global wheat pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will
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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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tomato and pepper as model systems. Work in Oxford will build on our extensive experience in studying bacterial virulence mechanisms and the role of the plant microenvironment in disease development
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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cardiovascular disease progression and outcomes. The successful candidate will work to identify key clinical and immunological predictors, develop risk models, and help generate new hypotheses to inform future
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). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension. This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a