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16 Dec 2025 Job Information Organisation/Company Swansea University Department Central Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual
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16 Dec 2025 Job Information Organisation/Company Swansea University Department Central Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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the technology, hence there is a drive from the industry to address this. To answer this question requires an interdisciplinary approach, combining Industry input alongside physical sciences and physiological
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Recently, many councils in Wales started using single transferable vote (STV) method for counting ballots. While counting plaintext ballots using STV method is straightforward, but a rank-based ballot may leak the voter’s preferences if published publicly in plaintext, as the ranking order can...
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, curved element optimisation, multiscale geometric feature detection, and error-controlled surface approximation. The resulting technology will be tested on real industrial geometries provided by partners
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 27 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job...
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16 Jan 2026 Job Information Organisation/Company Swansea University Department Central Research Field Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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industries, including: - Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. - Civil Engineering: Real-time health monitoring for bridges and
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Prevention and Self-Harm Research you will benefit from: a supervisory team comprised of experts in the fields of suicide prevention and data science joining the team and the National Centre for Suicide