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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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organoids, computational biology and informatics. Our laboratory research is translational, generating new insights that we develop for clinical impact through MitoCAMB and the Cambridge Clinical Vision
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organoids, computational biology and informatics. Our laboratory research is translational, generating new insights that we develop for clinical impact through MitoCAMB and the Cambridge Clinical Vision
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About us The UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is
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of the research programme as discussed with the fellowship supervisor. Contribute to research group planning. Coordinate and liaise with other members of the research group over work progress. Supervise research
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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regulating phage integration and excision. You will be responsible for the planning, design, and execution of the research programme, including preparing project reports and writing draft academic publications
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of translating fundamental AI, computer vision and spatial audio into ground-breaking creative-industry technologies. The post will investigate novel audio systems for virtual production, contributing both
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for the provision of strategic leadership and vision. Developing and leading a team of academic/research staff and post-graduate researchers (PhDs) to deliver research outputs of outstanding quality. Obtaining