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, shocks, vortices, thermal gradients and structural stresses often occur in regions that are closely linked to the geometry of the problem. In current industrial workflows, these phenomena are commonly
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structured datasets. These will support AI applications in paediatric care, enabling early detection of conditions and personalised treatment planning. A human-in-the-loop (HITL) approach will ensure clinical
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they can be exposed to both microwave and laser fields to probe their energy structure, or to carefully tailored magnetic fields to reveal their behaviour due to gravity. Laser-cooled beryllium ions trapped
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microwave and laser fields to probe their energy structure, or to carefully tailored magnetic fields to reveal their behaviour due to gravity. Aided by laser-cooled beryllium ions and laser cooling of the
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structural stresses often occur in regions that are closely linked to the geometry of the problem. In current industrial workflows, these phenomena are commonly captured either by globally over refining
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located offshore, present very specific technical challenges. Structural design and optimisation of performance in energy conversion are dependent on a correct estimation of the effects of flow, but scale
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care