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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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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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postdoctoral researchers, and approximately 15 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis, gravitational self-force
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Clinical Research Facility, also based at Southampton General Hospital. The post holder will also have primary responsibility for the collection and analysis of the biological samples, which includes
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component will explore the experiences of individuals with Parkinson’s disease participating in a trial investigating the use of Functional Electrical Stimulation (FES) to improve mobility. The findings from
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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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analysis of the biological samples, which includes metabolomic analysis. The role will require regular presentations of the study and results to the research team and study funders, and at public and
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, and cost-effectiveness analysis in the context of clinical trials. About the role You'll work as part of our evidence synthesis team on projects for NICE. This involves critical appraisal of evidence
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randomised controlled trial (RCT). This qualitative component will explore the experiences of individuals with Parkinson’s disease participating in a trial investigating the use of Functional Electrical
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project investigating seismicity, fluid processes and structure in active rift zones. The new project – Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake