60 information-security "https:" "https:" "https:" "https:" "University of St" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 00:00 (UTC
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026
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, please contact Prof Xize Niu (email: x.niu@soton.ac.uk ). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409766/research-fellow-in-… Requirements Additional Information Work
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on or before 2 August 2016. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409765/paediatric-asthma-a… Requirements Additional Information Work Location(s) Number of offers
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. We can offer: Access to cutting‑edge genomic technologies, high‑performance computing resources and secure data environments (both academic and NHS). Opportunities to work closely with national
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(m.kalkowski@soton.ac.uk ) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409452/research-fellow-in-… Requirements Additional Information Work Location(s) Number of offers
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quantification, or modelling of biological tissues/porous media. Please email Michal Kalkowski m.kalkowski@soton.ac.uk for any informal enquiries. Where to apply Website https://www.timeshighereducation.com
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16 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 10 Apr 2026
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. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408705/research-fellow-cli… Requirements Additional Information Work Location(s) Number of offers available1Company
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including