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) at the University of Manchester. A team of three postdocs and a project manager will also support the work. The successful applicant will work as part of a world leading team of physicists, chemists, engineers and
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industrial partner. The AMD section is a leading group in combining multiscale modelling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials
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research challenges arising from accelerated electrification and increased use of the existing grid. Reaching these goals requires strong interdisciplinary collaboration among research institutions, user
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the understorey. Canopy disturbances are now accelerating across European forests, and climate-change induced drought is a key driver. These disturbances are opening the canopy and exposing forest biodiversity
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factors that accelerate material deterioration (e.g., hydrogen embrittlement, corrosion). The primary tasks include developing advanced multiphysics frameworks (finite element/phase-field methods