54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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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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lasers and amplifiers would be beneficial for this position. You must have proven skills in the critical evaluation and interpretation of data and of working as part of a collaborative research team. The
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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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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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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
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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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Application process: For further information or an informal discussion prior to applying, please contact Professor Maggie Donovan-Hall at mh699@soton.ac.uk . Applications should include a covering letter and a
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approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is