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Field
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, Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within the structure and resulting inundation – requires advanced modelling techniques. This research
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond
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-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training
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learning models to distinguish between normal physiological behaviour (e.g. diurnal rhythms, feeding responses) and abnormal stress-induced patterns will be central to the project. This requires
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hydrodynamic modelling to assess anchoring stability, water-level changes, and impacts on energy yield and reliability, in collaboration with Zneco. Year 3 till submission: Electrolyser Integration with Hydrogen
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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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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises