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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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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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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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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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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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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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specifically, the PhD student will examine dynamics of sensory processing with a particular focus on the suppression of sensory input around movement initiation. Projects will involve using physiological
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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
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industrial data, to transform how pharmaceutical blending processes are designed and scaled. The project combines simulation, high-performance computing and industrially relevant experimentation, providing a