36 computer-science-data-wahrn-hous Fellowship positions at UNIVERSITY OF SOUTHAMPTON in Uk
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
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We are seeking a motivated and talented Research Fellow to join our dynamic team working at the forefront of biofilm engineering. This position is part of the BBSRC-funded Environmental
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve complex engineering and environmental challenges. As a world-leading, research
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represents the first dedicated cancer immunology centre in the UK. The activities in this centre span from pioneering discovery science to applied research and preclinical modelling and, crucially, onto first