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crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed Tomography (CT) – two
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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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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
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compounds. Fungal extracts will be analysed using liquid chromatography-mass spectrometry (LC-MS/MS), and promising compounds will undergo purification, structural elucidation via MS and NMR, and
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(including specialists in architecture, ecology, law, literature and anthropology) and societal partners (including professionals and innovators in construction, social housing, green infrastructure, and