66 data "https:" "https:" "https:" "Inserm" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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full consideration to applicants that wish to work flexibly, including part-time, and due consideration will be given to applicants who have taken a career break. Please visit https
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would need to be exempt or eligible for an ATAS certificate; more details on ATAS can be found here, https://www.gov.uk/guidance/academic-technology-approval-scheme. The appointment will last until
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. We strongly recommend that you visit https://www.ecs.soton.ac.uk/workinghere to find out more about working in ECS. Ranked in the top 1% of universities worldwide, we’re bold, progressive and keen to
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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