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biocontro agents as sustainable, high-impact alternatives. Industrial fermentation of Streptomyces, however, remains a major barrier to realizing this potential. Their complex cell morphology shifts between
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network. When applying SHM, the majority of successful applications rely on data-driven approaches and are moving toward ever more complex machine learning and AI methods. When the upkeep of critical
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other major sustainability targets (e.g., the EU-Circular Economy Strategy Plan, Net Zero), countries worldwide are increasingly adopting sustainable production and consumption practices. Design plays a
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to cutting-edge technologies like solar collectors and heat pumps. In Advanced Geothermal Systems (AGSs)—a promising frontier in sustainable energy—heat is transferred through closed-loop pipe networks
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receive information, but will perform complex machine learning (AI) and processing tasks. This "Edge Computing" reduces latency, improves security and reliability, and makes complex multi-node systems
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feasible technology capable of connecting continents and bridging the vast distances required for a global quantum network in Europe, North America, and Asia as the long-haul backbone. Your project will be
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Worldwide Dr M Val Martin, Dr S Moller, Dr Karen Exley, Dr J Edmondson Application Deadline: 30 November 2025 Details Are you passionate about solving complex environmental challenges? Interested in
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datasets, and utilising internal and external data sources in reporting and ability to quickly assimilate and analyse complex data from multiple sources. Essential Application/Task Experience of project
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Wind Farms. Offshore wind turbines are critical to the UK’s transition to net-zero, but their reliability is challenged by harsh marine environments. Turbine foundations, buried beneath the seabed
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of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from the interactions between