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digital twins that combine climate and physiological principles can lead to more accurate predictions on vulnerable populations. The long-term aim of this project is to develop transferable technology that
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role in the University’s Science Strategy and have an instrumental part in research projects that have a significant impact on both your chosen field of study and wider society. We combine leading
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role in the University’s Science Strategy and have an instrumental part in research projects that have a significant impact on both your chosen field of study and wider society. We combine leading
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role in the University’s Science Strategy and have an instrumental part in research projects that have a significant impact on both your chosen field of study and wider society. We combine leading
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. The project addresses fundamental questions about MDR in natural waters, generating insights relevant to environmental and public health policy. The supervisory team combines expertise in epidemiology
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. Furthermore, hybrid offline/online and dual-layer RL strategies demonstrate superior performance by combining long-horizon forecasts with real-time corrections, reducing both convergence time and operating
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this information affect behavioural decisions before and during combat? This PhD project will tackle these questions using a combination of evolutionary modelling and behavioural experiments in a wild population of
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to have limitations in representing the impacts of extreme events (e.g. (e.g. Franke et al. 2020; Li et al. 2019). Preliminary work involving the supervisory team, combining production and trade data with
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rest, will be combined with detailed in vivo human physiology techniques in healthy volunteers. Methods may include stable isotope tracers, blood and muscle biopsies, imaging (ultrasound, MRI, DXA), and
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microbiology and regulation. The strength of this project lies in its collaborative framework, combining research with industry and policy relevance. Partnerships with environmental regulators and water industry