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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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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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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
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the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations
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/academic/engineering/research/ ). We are particularly proud of the collaborative interdisciplinary nature of our research, which also includes strong industrial partnerships. The strategic vision
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of Mathematical, Physical and Computational Sciences (SMPCS) conducts world leading research in priority research areas of Data Science and Computational Science. Within the department, the Computational Vision
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with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision