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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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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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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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purification using native and affinity-tagged proteins, biophysical analysis of metal-protein interactions (eg affinity determination by competition assays), and protein metal content analysis (ICP-MS). Protein
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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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: molecular biology, C. elegans maintenance, genetics, and transgenics, live fluorescence microscopy and biochemistry. See https://www.davieslab.org for more information about the Davies lab's research
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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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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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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