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This is an exciting time to join the University of Southampton, a global top-100 university with a reputation for delivering world-class education and research that addresses some of society’s biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the...
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16 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Computer science Engineering Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 19 Mar 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job...
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a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically active crystal – rare-earth (RE) doped sapphire (REDS). The EIC-funded
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to experimental campaigns and will use image-derived structures (including XCT images where available) to develop mechanistic, validated mathematical multiscale models. We are recruiting a Postdoctoral Research
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enterprise and are within the top 1% of universities worldwide. Apply to be part of a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically
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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in vivo imaging platforms. Key responsibilities To work within
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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vivo imaging platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with collaborators at Southampton and beyond. To design, conduct, and analyse in vitro and in vivo
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-Informed Reinforcement Learning Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates