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Failure diagnosis for offshore wind turbines with low availability of run-to-failure data
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Development of new approaches for understanding and optimizing antisolvent crystallization processes
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Security of robotic workflows
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O&M cost modelling of large component major replacement in next-generation offshore wind turbines with uncertain failure rates
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Fine-time resolution passive RF source imaging
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Plasmonic nanostructures for metal-enhanced applications
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Investigating novel reagents in organic synthesis
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Automated quantitative inspection of nuclear assets and canisters
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Uncovering the predominant factors influencing the transient stability margin in power systems with increasing renewable generation using interpretable machine learning
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Development of a modular microfluidic platform for customisable in vitro neuroscience models
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