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patterns and air pollution in urban areas. Data driven methods will build on experiments conducted in the University of Southampton’s wind and water tunnel facilities using state-of-the-art laser diagnostics
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Lead research projects focused on understanding and redesigning enzymes using a combination of structural and computational approaches. Deliver high-quality structural biology, applying advanced methods
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be opportunities to facilitate sessions on our training courses on systematic reviews in health. What we’re looking for: A PhD or equivalent qualification and/or substantial experience in a health
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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junior researchers and students. Any other duties appropriate to the scope and grade of the post. Postdoctoral Fellows are expected to lead their own projects, collaborate on others, and guide PhD and
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development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience of working with
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. The position offers the opportunity to shape core analytical methods used across CD3 and to contribute to one of the largest coordinated efforts in the UK to transform early cancer detection through data
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time crystals on a nanomechanical platform and to establish the conceptual and experimental basis of timetronics. Applicants should hold, or be close to completing, a PhD or equivalent qualification in
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operation & control are essential, along with a keen interest in developing new ideas from proof-of-principle to implementation. You must have a PhD or equivalent professional qualifications and experience in
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, lattice theory and holography will be desirable. All fellows will contribute to the development and activities of the research group. The successful applicants should have a PhD (or be close to completing a