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experimental and theoretical quantum information and quantum technologies, and specialised training in entrepreneurship, project management, collaborative working, responsible research and innovation, science
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to a breakdown in ecosystem function, including impacting the integrity and complexity of trophic interactions (e.g. food webs). Cumbria Connect aims to recreate woodland pasture ecosystems across large
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reductions across all sectors of the economy but also the large-scale removal of carbon dioxide from the atmosphere to address residual and hard-to-abate emissions. Carbon dioxide removal (CDR) is increasingly
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studentship, commencing in October 2025 as part of the second EnerHy intake, is based at the University of Strathclyde and centres on advanced analytics for wind energy data. Research Project Overview The wind
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
evidence-based interventions in elite sport environments. The successful candidate will be integrated in a programme of research involving the continuous collection of physiological and behavioural data via
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manufacturing methods, such as autoclave or oven curing, are energy-intensive, costly, and often impractical for large-scale or complex structures. This PhD project aims to develop next-generation, energy
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developed through large programmes of research. You will aim to develop and validate a computational testing process, which can include patient variability for the biomechanical assessment of fusion devices
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materials [1,4]. In addition to base material, a key requirement for fusion in-vessel components is understanding radiation tolerance of welds because complex and large fusion in-vessel components will
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. This primarily stems from the challenging materials (large/disordered unit-cells, long sampling timescales) and light-matter interactions involved. Consequently, computational tools, rooted in physics, that can
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-combustion simulations High-fidelity turbulence simulations (Large Eddy Simulations ) to assess real-world PAC performance Training & Development The PhD student will receive comprehensive training in: Plasma