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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
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partnership with Adfree Cities, the student will investigate: The link between advertising exposure and mental health, using large-scale secondary data and modelling How advertising shapes social norms for meat
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monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive architectures that are impractical for scenarios constrained by limited data and resources
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to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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are taking a big and necessary step toward revolutionizing the UAV based acoustic monitoring technology. Entry requirements: A minimum of an upper-class honours degree (2:1) or overseas equivalent in
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the fusion community, with very little data collated with EUROfusion. To quantify interplay between different plasma species, and the further impact of impurity seeding that is critical for benchmarking
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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technologies, AI and big data. Crop and soil health - resistance and integrated pest management (including AI-driven prediction) and improving the root-soil interface (carbon, water and nutrient availability