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make livestock, crop or food systems healthier, more resilient and lower emission? Could AI, sensing, modelling, robotics or engineering biology change how decisions are made across farms, food, animal
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quantitative analysis to determine their pharmacological and sensory properties. A major strength of the project is its integration of molecular pharmacology with evolutionary and organismal biology. You will
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, modelling, robotics or engineering biology change how decisions are made across farms, food, animal health or the environment? Could you create better ways to restore nature, use land and water, or support
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synthesis and research activities experience supporting the development of clinical guidelines, policy recommendations or evidence-informed decision-making processes will be highly regarded strong
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systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a
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development of postgraduate and PhD researchers. You will have the opportunity to contribute to a programme of research that will inform decisions about how best to reduce disparities in maternity outcomes
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decision-making. The project will also explore broader societal issues, including governance, ownership of digital twin data, regulation of AI-enabled healthcare technologies, equity of access, and the
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ingredient in drug development, data management, and IT analysis, deepening understanding of how regulatory databases are developed, maintained, and leveraged for strategic decision-making. You will also have
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business and finance can create, measure, and scale positive societal and environmental impact. The Institute works with partners from academia, industry, government, and civil society to translate rigorous
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Studies, and International Business Review, among others. About the Project. This project investigates the integration of non-financial factors into core corporate decision-making processes through three