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We are seeking a Research Fellow – Statistical Data Scientist to join the Big Data in Health Group at the University of Southampton. The Fellow will work on a UKRI-funded project investigating how
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The University of Southampton with support from the UKRI is funding until 30/09/2027 full-time work on the use of data assimilation for turbulent flows. You will be working under the supervision
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We are seeking a highly motivated and skilled Research Fellow to join the Cancer Data-Driven Detection (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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– Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake data in the Corinth Rift, Greece. The researcher will take a lead role in fieldwork during the project
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candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
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beyond. Your tasks will be to lead data reduction, analysis and modelling of GRAVITY+ data and contribute to the development of the data reduction software. The Southampton Astronomy Group provides a
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data collection and biological assays including metabolomics. The post holder will have primary responsibility for conducting the human volunteer study, with significant support from the NIHR BRC
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resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow will join an international team in the project “Quantifying evolution
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other research outputs/impacts. Non-UK applicants must demonstrate equivalent training. Additional Information Individuals wishing to apply must be fully registered with General Medical Council (GMC