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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering fully funded, multidisciplinary PhD
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simulation regimes by harnessing and advancing the latest developments in AI Machine Learning. This studentship is a continuation of prior work that is looking at using new cutting-edge deep learning models
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impact on water quality and aquatic biodiversity. Fieldwork (1–2 days/week) will involve surveying aquatic plants and invertebrates, while lab work includes processing water and sediment samples using
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are crucial, such as legal analysis, scientific discovery, and industrial planning tasks. Daniel Kahneman's concept of Thinking, Fast and Slow distinguishes between two modes of cognitive functioning: System 1
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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bottlenecks facing flexible and large-area metal oxide electronics: the scarcity of hole-transporting (p-type) oxide semiconductors. Developing p-type materials with performance on par with their commercialized
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applicable to other large commercial or industrial sites and aid in the decarbonisation of the UK's heating. The project is part of the Warwick Industrial Fellowships (WIF) scheme and the associated PhD
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prototype fusion power plant, by 2040. Proposed fusion power plants will use deuterium-tritium fusion, generating tritium in situ via the bombardment of lithium-6 with neutrons. Natural lithium is comprised
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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become increasingly prominent in space applications, offering substantial benefits with high strength/stiffness and lower density/weight compared to metallic structures. Their use space vehicles span