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Field
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ResTOrES project will develop, test, and demonstrate a prototype resilience assessment toolkit for offshore energy systems. The toolkit will enable the quantification of resilience in terms of appropriate
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This vacancy has been extended until 08/07/2025 About the Role We are seeking an enthusiastic and ambitious senior biostatistical researcher to join our interdisciplinary team designing, developing
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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isolation, leading to suboptimal network performance. This project seeks to address this gap by developing a holistic, system-level approach that optimises PST deployment strategies to enhance grid
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years full-time or 7 years part-time. The scholarships will support PhD research on any of our PhD programmes based in any of our ten Departments. Continuation of award Continuation of the award is
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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and develop advanced cryogenic power electronics solutions for key net-zero applications such as all-electric aviation and wind energy. This fully-funded PhD project will provide the opportunity
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary air surveillance radars specially modified
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development could be foreseen in Year 4. The recruited PhD candidate will become a member of an active research group working on the development and application of cutting-edge computational techniques