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Field
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models that represent and reason about complex biological systems, enabling predictions and interventions that can alter system behaviour in desired ways. For example, why do cells respond differently
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habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will build next-generation, process-based models to predict how real populations respond to complex
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
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, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate
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for high frequencies due to loss and dispersion limitations. Tackling these problems with complex equalization techniques will not be possible because of their high-power consumption and needed area. To
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areas, including the Fens and Romney Marshes, depend on complex networks of drains, rivers, and pumps to regulate water levels. These drainage catchments are crucial for protecting homes, sustaining
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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gardens and sponge fields, are biodiversity hotspots that deliver critical ecosystem services through their complex structures. However, they face increasing threats from fishing, resource extraction, and
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical