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by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and
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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video
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inclusionEquality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct
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vision for future research and practice in the visual and material medical humanities. We understand visual and material to refer to both artefacts (including but not limited to images, objects and
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the whole MC-LFPE system. The research project is led by Professor Yaodong Wang. The successful candidate will help develop such a new prototype MC which can be coupled with the LFPE. The project is being
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of the line manager. To design and develop novel and cutting-edge deep learning and image processing frameworks for automated species identification and environmental stress assessment, as well as frameworks