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stakeholders. The successful applicant will be expected to lead and develop qualitative research activities, data analysis and project support. The applicant will have responsibility for leading research
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Prof Jim McElwaine (Woods Hole, USA). The project involves developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions
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of the grant. Successful applicants will, ideally, be in post by 01/11/2025, with an earlier start date possible. Contact Information Dr Jack Shotton, Associate Professor, Department of Mathematical Sciences
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highly-ranked journals. Demonstrable ability to present research papers at international conferences and communicate complex information to specialists and within the wider academic community. Skills
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interpreting data, and contributing to innovative solutions that support maritime decarbonisation. Additional duties involve supporting research funding proposals, engaging in licensing or spin-out activities
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recruitment, data collection, data management and data analysis. Contribute to the production of research reports and publications. Undertake narrative interviews and conduct focus groups with elite UK Sport
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investigate the "Solar wind outflow and open flux". Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
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highly-ranked journals. Demonstrable ability to present research papers at international conferences and communicate complex information to specialists and within the wider academic community. Experience
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in