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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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physical and chemical characterisation. There will also be opportunities to integrate these materials into functional devices, such as sensors, and evaluate their electrical, optical, and thermal performance
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at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. *PhD candidates who are close to completion
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