62 data-"https:" "https:" "https:" "CMU Portugal Program FCT" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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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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Researcher to join our team. In this role, you will contribute to the project’s success by conducting remote sensing research, collecting and analysing data across the MENA region, and supporting field surveys
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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
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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 methods that combine historical
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range of optical and infrared data of AGN. Your tasks will be to lead exploitation of and co-develop a range of existing models and work with a team of local and international colleagues to apply those