36 parallel-computing-numerical-methods Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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experience of extracting and analysing historical information from archival sources and working with historical datasets, databases, or digital humanities methods. You will join an interdisciplinary research
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Applications are invited for an ambitious Senior Research Fellow in Health Economics to work at the University of Southampton and contribute to a nationally-leading research programme funded by
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. The post holder will not be required to be based at Southampton but must be able to meet in person with the team once a week. You will join Responsible AI UK, a £31 million UKRI-funded national programme
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Applications are invited for a Research Fellow position within the School of Electronics and Computer Science at the University of Southampton. The project will involve the development
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We are seeking a motivated Research Fellow to join a Human Frontier Science Program (HFSP)-funded project investigating the evolutionary origins and diversification of sensory receptor and ion
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lives. The NIHR ARC Wessex Addiction Flagship is developing a connected programme of applied research, implementation and partnership activity focused on improving the identification of, and response
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Deadline 1 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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frameworks, as well as an interest in mixed-methods research; have the ability to plan and organise work independently and as part of a team; and have the ability to write research presentations and papers
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We are seeking a highly motivated Postdoctoral Research Associate (PDRA) to join the MIMIC programme: “An interconnected multi‑organ platform to recreate the complex pathophysiology of Metabolic
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microfluidic method for understanding platelet activity with potential to predict thrombosis risk and associated heart attack and stroke risk. These are poised for commercialisation in readiness for clinical