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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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and reduce performance. At the same time, recycled alloys are often more susceptible to solidification defects during processing. This PhD project will investigate the interplay between grain refinement
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, moisture‑related defects and narrow processing windows, limiting their wider adoption. This PhD will address these challenges through a combination of experimental materials science, advanced
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians at Great Ormond
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. The project will then consider polymer melts up to 200 °C, relevant for industrial extrusion. Working with industrial and academic partners, you will help establish a new materials‑processing paradigm with
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Start date: 1st October 2026 The University of Nottingham is seeking an outstanding and highly motivated candidate for a fully funded PhD studentship focused on the development of next‑generation
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details