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experimentation and finite-element modelling. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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group have developed an AI-enabled system which can extract detailed retinal vasculometry characteristics from colour fundus photographs (CFPs) in a fully automated way, allowing application to large
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact
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Location: South Kensington and White City Campuses Contract: Full-time, Fixed-term appointment for 48 months initially, with the potential to extend depending on programme requirements About the