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these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis, the research will assess how different fuel pathways affect engine behaviour, hybrid power
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be used to efficiently simulate reservoir behaviour over large spatial and temporal scales. Particular attention will be paid to the role of lateral boundary conditions, reflecting whether geological
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, including weather, cyberattacks, and equipment degradation, are unpredictable, causing AI behaviors to deviate from lab-tested performance. Current digital twin technologies focus on predictive maintenance
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characterise novel genomic aberrations in up to 1000 paediatric cancer samples. Transcriptome sequencing, proteomic and metabolomic assays will help to understand the behaviour and consequence of the genomic
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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key challenge lies in enabling agents to continuously adapt their knowledge and behaviour in dynamic environments while keeping decision-making processes explainable. This motivates the use
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processes that integrate formal requirements and automated test generation based on formal specifications into medical device software development. You will be trained to conduct research combining software
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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, users must adapt their use of the infrastructure to meet the new conditions. Often the way in which those users, both passenger and freight, change their behaviour in response to changes in infrastructure