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Field
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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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management scenarios using geophysics and numerical modeling. High-resolution subsoil characterization using electromagnetic induction (EMI), and ground penetrating radar (GPR) will be combined with soil
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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of industrial high-temperature processes with potential for negative carbon emissions. PhD student in the field of numerical simulation of plasma-based methane decomposition Your tasks Setup of Computational
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, could also be used to underpin numerical models, quantifying the potential contributions of focal species to dispersal and/or reforestation at local, regional, or global scales. For further information
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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and to take a leading role in its direction; strong oral and
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calcifications present in the retina. The core project of the doctoral candidate will involve testing various forms of application in animal models. We have numerous state-of-the-art technologies at our disposal