18 modelling-complexity-geocomputation PhD positions at University of Exeter; in United Kingdom
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Project details: Adaptive Automated Geological Modelling for Sustainable Mining Applications Sustainable mining requires a proper assessment of the risks involved in any decision in the mining value
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this goal. However, the computational expense of these models limits their use for generating forecasts, constraining the spatial resolution, level of physical complexity, and number of ensemble members
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shading or relocation. Addressing this gap requires the integration of physiological models, environmental sensing, and data-driven forecasting, tools that can provide the predictive power urgently needed
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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extreme weather events affect many parts of the grid at once, across wide areas, and over overlapping timescales. The current system is not well prepared to handle this complex, compounding impacts
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pilots to real-world systems. The overarching aim is to deliver a scalable approach, pairing shared “aggregator” models with household-specific “client” models that exchange knowledge while keeping data
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will investigate the mechanisms of skeletal muscle disuse atrophy and test strategies to prevent the loss of muscle mass and function. Experimental models of disuse, including limb immobilisation and bed
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and night-time low temperatures. There is a need to improve the way the stratified boundary layer is represented (parametrized) in these simulations and also interrogate the models with high-quality