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The Surrey team has recently demonstrated the performance of new perovskite scintillator materials which combine a high scintillation light yield, high material density, good optical transparency
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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capabilities. Both conventional and ultra-high dose-rate proton therapies demand advanced imaging technologies to enable accurate in vivo three-dimensional dose verification and treatment delivery assessment. A
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) exploiting unlabelled operational data and self-supervised representation learning strategies to reduce reliance on costly measurements and manual labelling. Multi-fidelity modelling will fuse low- and high
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Quantum materials underpin key emerging technologies in quantum computation, sensing, and low-energy electronics (e.g. topological insulators, topological superconductors, spin liquids, superfluid
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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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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme