10 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"St"-"https:"-"https:" PhD positions at Swansea University in United Kingdom
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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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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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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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, 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
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forecast local generation and demand. To do so, historic local data (e.g., the active buildings in Swansea University) and Met Office data will be used to train and validate the proposed ML model
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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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the best possible evidence. This fully-funded studentship is part of the centres goal to advance research excellence, inform policy and practice and to develop future research leaders. This PhD project will