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fluid. A main application of this technology is for the detection of wall defects and leaks in pressurised water pipes. If you have a degree in Mathematics, Physical Science, or Engineering and a PhD (or
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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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computing and design automation, mainly targeting the domains of Machine Learning, Computer Vision and Robotics. This full-time, in-person postdoctoral position is based at Imperial College’s South Kensington
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lead and perform research in these areas, who will have practical experience of blast experimentation, underwater blast loading, and demonstrable computational modelling experience in a relevant area
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innovations as appropriate. 3) conducting a programme of evaluation and research to assess the quality and impact of the current teaching and to make a significant contribution to the international
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or desirable Stage(s) assessed at A PhD in Engineering, Physics or Applied Mathematics Essential Application Knowledge of modelling of sound propagation in waveguides (assessed at: Interview) Essential Interview
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comprehensive understanding of the constantly evolving field of information technology and operations management. Our vision is a future where organisations achieve unparalleled efficiency, sustainability, and
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Council (BBSRC). The Institute has a vibrant programme of postgraduate research (c.180 PhDs hosted in the building at the time of writing) and is supported by ~65 Group Leaders and Career-Track Fellows
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the University's Strategy. The post-holder will be expected to contribute to all areas of provision from our PhD programme, MA in Higher Education PGCert in Learning and Teaching in Higher Education and a range of
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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