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Field
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation
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foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready
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Description: This PhD project offers an exciting opportunity to co-develop and pilot a systems-based, interdisciplinary framework for circularity assessment in the water sector. Working closely with Anglian
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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NO2 causes an increase in O3. Statistical methodological developments are required to understand the relationship between air pollutants and health outcomes to account for both the size and nature
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Cambridge Research Limited (SCR) and the University of Warwick seeks to develop novel electro-catalysts for the efficient synthesis of green ammonia through the electrochemical process under near-ambient
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pursuing impactful research in a relevant area. Successful applicants will benefit from supervision by experienced and research-active faculty members, access to dedicated doctoral training, development
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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"forever chemicals," represent a growing challenge for drinking water providers due to their persistence and potential health impacts. Water utilities across the UK, including Anglian Water, are developing
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, industry, including the (re-)insurance sector, and the public to better prepare for seasons of high activity. The project will investigate the skill of forecasting seasonal accumulated North Atlantic cyclone