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the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process
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in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not
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Si photonics and material integration technology, while Southampton can provide the state-of-the-art MEMS, NEMS, and Metasurface technologies. Starting from the development of individual MEMS/NEMS
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Mathematics Physics Researcher Profile Recognised Researcher (R2) First Stage
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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28 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M
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partners, particularly with the University of Oxford. The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant physical/engineering
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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve the most complex societal and environmental challenges. As a world-leading
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The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting-edge research under