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/processes; formalise requirements; prototype traceability. Expected outputs include requirement templates and an initial workshop paper. Year 2: Integrate PlaTFoRm tools; evaluate coverage and fault
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter
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The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative
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, inclusive research culture. For 2026 entry, our offering consists of 3 Collaborative Doctoral Awards (CDAs) as detailed below. Application deadline: 30 April 2026 Application process Applications
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Deadline: All year round UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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a set confidence level, typically 90% probability of detection. This project aims to take a radically different approach and integrate the array images with structural integrity assessment to predict
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A 3.5-year PhD position is available in the field of experimental nanoscience at surfaces and molecular-scale imaging of conjugated polymers in the group of Prof. Giovanni Costantini
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are required for applications such as in energy storage. The participating research groups have experience in thermal processes, laser imaging techniques and novel materials synthesis and the successful
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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect