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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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Research Council (EPSRC) grant “Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing (AIXISuMM)”. The vision of AIXISuMM is that transformative and efficient technologies to manufacture
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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in vision science. The post arises as a follow-on from a UKRI and Wellcome Trust funded project that was part of the “Physics of Life” initiative, bringing together researchers from the physical