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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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understand how materials perform in extreme environments. Characterize materials using optical and electron microscopy to examine microstructure and material properties. Contribute to ongoing research projects
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and distributed across digital platforms. The research will build on Surrey’s world-leading work in content authenticity and media provenance. You will develop new Computer Vision, AI and multimedia
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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in
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implement a research programme in conjunction with the PI to derive, evaluate and possibly improve upon best-practice AI-supported code development and best-practice pedagogy in code development, towards
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and
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. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software, including common bioinformatic/statistical software and
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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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. If you have any questions about the application process, please email us at [email protected] Further information on the Programme is available at: PROGRAMME | CREATE PhD Programme (create-phd.org)
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Unit: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 27/07/2026 ▲ Collapse Job Title: Research Fellow (Speckle Dynamics and Transcranial