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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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, the wider industrial adoption of ASDs remains constrained. Current development pathways are slow, labour-intensive, and require substantial quantities of material. Techniques such as hot-melt extrusion and
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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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to strengthening UK capability in strategically important high-voltage semiconductor technologies, supporting decarbonisation, grid modernisation, and advanced manufacturing. The successful candidate will develop
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resilient. The PhD student will take the lead on the full research programme: designing studies, analysing data, developing models, and co-producing interventions with DfT and other partners. The PhD student
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a
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of ASDs remains constrained. Current development pathways are slow, labour-intensive, and require substantial quantities of material. Techniques such as hot-melt extrusion and spray drying are typically
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maintaining human oversight for quality and accuracy. This real-world case provides a unique opportunity to study how trust in AI systems develops, whether specialists seek to preserve authority in decision
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supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home
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frequently. The PhD project will focus on areas associated with the novel implant development and the testing of the device using cadaveric and surrogate tissues. Further details of the Oncological Engineering