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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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Description This exciting PhD project offers the opportunity to work at the forefront of biomedical engineering, developing the next-generation technologies to revolutionise long-term heart monitoring. You will
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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2 Mar 2026 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Electronic engineering Engineering » Communication