13 data-"https:"-"https:"-"https:"-"https:"-"IMT---Atlantique" Fellowship positions at The University of Southampton
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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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– 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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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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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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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
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Senior Research Fellow to work on the
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, please contact Dr Jonathan Shepherd (jps@soton.ac.uk ) or Professor Joanne Lord (j.lord@soton.ac.uk ). See our website for further information about SHTAC. Working at the University of Southampton: Check
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to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational predictions. Publish in high-impact