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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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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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currents form the deepest canyons, longest channels and largest sediment accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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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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ideas/adaptation and development of research protocols. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in
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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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, 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
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literature review methodologies, and have a good command of research knowledge relevant to Contextual Safeguarding. Research experience, including from their PhD, is essential, however we are open to
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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