17 computer-science-image-processing positions at UNIVERSITY OF SOUTHAMPTON in computer-science
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, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development, student supervision
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science for complex heritable conditions, primarily focused on inflammatory bowel disease. The successful candidate will undertake research with the ultimate aim of improving personalised diagnostics
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environment within the School of Biological Sciences, working alongside a growing computational genomics community at Southampton. You will have access to IRIDIS HPC, with support from RSEs, and also
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collaborators in computational chemistry, natural product isolation and biosynthesis. You will be encouraged to present your research at national and international conferences, contribute to publications arising
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19 Sep 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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result prototype for analysing platelet activity for the diagnosis of patients at risk of thrombosis leading to heart attacks and strokes. Microfluidic and system engineering methods will be used
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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An exciting opportunity has arisen to join the team working to deliver the Professional Services Development Programme. This major strategic programme aims to reframe the position of Professional
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CORNERSTONE, the UK’s leading silicon photonics foundry at the University of Southampton, is seeking a Senior Programme Manager to lead the development of a Canada-UK semiconductor network
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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