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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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an EPSRC funded project to develop magnetic nanoparticles for advanced imaging and sensing applications. The project targets new advances in Magnetic Particle Imaging (MPI) by co-developing advanced magnetic
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an EPSRC funded project to develop magnetic nanoparticles for advanced imaging and sensing applications. The project targets new advances in Magnetic Particle Imaging (MPI) by co-developing advanced magnetic
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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further secured by Quantum Encryption techniques. On the other hand, optical links are affected by clouds (overcome by making various sites on the ground available) and turbulence in the atmosphere
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different timescales and sizes. You will be involved in establishing and maintaining organoid and whole organ cultures, imaging whole organs, and supporting the quantitative analysis of branching behaviour
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. The candidate will be expected to carry out experiments that support the objectives of the research project, such as generating primary neuronal cultures, conducting high-resolution imaging, and performing
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Seed Fund grant and is fixed-term to 29 February 2028. The Secure Encryption Key Exchange (SEKE) project is aimed at developing an eavesdropper detection system based on noise statistics for optical