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Field
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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predicts something important? This project will uncover the neural circuits that transform visual information into dopamine signals that teach the brain about motivation, action and decision-making
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on the WMG pilot run-out table. The project builds a four-layer signal chain: (1) a composition-parameterised electromagnetic forward model valid across industrial steel grades at 500–950°C; (2) a multi
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. Calcium signalling pathways are therefore essential for plants to respond and adapt to environmental stimuli and stresses. Flowering plants, such as the model plant Arabidopsis thaliana, have extensive
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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technique in which pre-compacted swarf is heated to just below the melting point of the material and then deformed. Done correctly, this fusion bonds the material together. The route allows waste swarf to be
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will work with deep learning, affective computing, multimodal signal processing, graph neural networks, hypernetworks, temporal modelling and responsible AI. Expected outputs include personalised
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PhD Studentship: Understanding how redox regulation processes facilitate platelet function Platelets are tiny circulating blood cells which prevent bleeding from damaged blood vessels (haemostasis
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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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processes which result in the formation of a soft and smooth bolus ready to pass down the oesophagus into the stomach. These perceived changes in texture during oral processing not only affect our enjoyment