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the Computational Foundry, a world-class centre for computational research, part-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides
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, coronaviruses, influenza, pneumonia, RSV) as well as pollution, tobacco, pollen, weather, drugs, foods and stinging insects. The long-term plan for the Driver Programme is to extend the data science capabilities
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“lattice” version of space and time, similar to the finite difference approach in computational fluid dynamics. Using this Lattice QCD method, Centre Vortex fields will be analysed to understand particles
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enable cohesive analysis across modalities and length scales. This PhD project is a collaboration between Swansea University and Carl Zeiss, a global leader in microscopy solutions. Both partners
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Data Science in the Faculty of Health, Medicine and Life Science at Swansea University, in addition to interacting with the research group in the Life Science department. The candidate will receive
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Dr. Marcella Bassetto (Cardiff University) Dr. Salvatore Ferla (Swansea University) Dr. Edgar Hartsuiker (Bangor University) Applications are invited for a three-year PhD studentship in the North
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In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty. In the first chapter, an optimal portfolio choice and life consumption problem will be studied under a fragile financial market...
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can expect to see as the UK transitions to net-zero. It is a collaboration between University College London, Imperial College London, The London School of Hygiene & Topical Medicine, Swansea University
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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed