14 web-programmer-developer-"https:"-"UCL"-"U"-"University-of-Zagreb"-"https:" PhD positions at Swansea University
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. Although institutional attitudes in contemporary Wales have changed significantly since the Welsh Government published the Anti-Racist Wales Action Plan in 2022, and despite the profound shifts in public
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It is almost thirty years since the advent of devolution in the United Kingdom. In Wales, that period has seen the evolution of the national democracy from the modest initial settlement to
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development pipelines requires changes in meshing, solver technology, and verification practices. The project is designed to reduce this barrier by creating a practical approach that blends existing industrial
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if this is the case. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying
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emerged to make meshing more flexible by allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order
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that adapt to both physical behaviour and geometric context. The project will develop a machine learning framework that learns the link between geometric variation, coupled physical responses, solution
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Learning as well as an ability to develop, build and test interactive systems. Funding Comment: Covers full tuition, £20,780 stipend (2025/26), plus up to £1,000 yearly for research costs.
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballots using the STV method. Our first point of
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applied the L2MSS to Welsh. This project will address this gap by developing a systematic understanding of adult Welsh learners’ motivations and evaluating the suitability of contemporary motivational
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust