52 computational-physics-superconductor Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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(R3) Country United Kingdom Application Deadline 20 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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An exciting opportunity is available for a talented researcher to join a successful team within the Primary Care Research Centre to support the process evaluation and implementation of a digital e
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4 Oct 2025 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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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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(R3) Country United Kingdom Application Deadline 2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A position is available in the Faculty of Medicine
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18 Sep 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental