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seismic oceanography—similar to bat echolocation—to capture water column structures at unprecedented resolution. Data were gathered using sound pulses, underwater robotics, drifters, floats, and moored
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will develop, implement, and apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics
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will be complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert. Please note that
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accident analysis and risk-informed decision-making; 2) Building predictive models using integrated maritime big data sources; and 3) Developing and validating a resilience assessment and control framework
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to £41,478 per annum. An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis modelling and
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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, brighter and carbon-neutral future. Our mission is to advance education, scholarship, knowledge and understanding through teaching and research, for the benefit of individuals and society at large. We have
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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apply the Helsinki Discrete Element Model (HiDEM) to simulations of brittle-elastic fracture, calving and retreat at Kangerlussuaq Gletsjer (KG), a large outlet glacier of the Greenland Ice Sheet. Working
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, knowledge and understanding through teaching and research, for the benefit of individuals and society at large. We have put environmental sustainability and social justice at the heart of our strategy