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of Warwick. With world-leading expertise and facilities in electrochemistry, materials chemistry, spectroscopy, microscopy, modelling and battery and fuel cell construction and testing, we aim to develop next
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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. This issue may help explain challenges in delivering major UK projects like Hinkley Point C. This project will build on the initial model to identify bottlenecks in UK infrastructure deployment, relating
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to fill evidence gaps and will mark a fundamental step towards informing development of a viable solution to reducing plastic pollution in fisheries. Through field, lab, and modelling studies and close
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English Appropriate background knowledge of mechanics or finite element modelling The following skills are also highly desirable: Good understanding of fracture and fatigue mechanics Good understanding
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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substantial intensification of the ocean heat transport, highlighting their climatic influence. However, the dynamics of submesoscale flows, and hence their representation in climate models, have not been