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influence the flow of thermal energy, generating clean electricity from waste heat, building advanced batteries that bring us closer to realising a truly sustainable green energy network, then this
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PhD Studentship in Computational Modelling and Optimisation of Plasma Systems We invite applications for a fully funded PhD studentship focused on the computational modelling and optimisation
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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larger network of PIs and postdocs and technicians based at the Universities of Manchester and Liverpool. The post will include developing and optimizing molecular biology protocols for high-throughput
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into lightweight, deployable VLMs without sacrificing performance. The research will explore architectures that integrate medical images and clinical text while remaining parameter-efficient through modern
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optical links, compensating for scattering of entangled photons in media such as multimode fibres and the turbulent atmosphere, and the realisation of logic gates to perform quantum computation operations
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predictive performance, computational efficiency, and spatial resolution through algorithm optimisation, tuning, and refined covariates. Assess trade-offs between spatial resolution and other performance
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tropical ecosystems with their high productivity and biomass (Ahlstrom et al., Science 2015). Yet these ecosystems are also heavily impacted by deforestation, degradation through fire, climate change and
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an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
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tropical ecosystems with their high productivity and biomass (Ahlstrom et al., Science 2015). Yet these ecosystems are also heavily impacted by deforestation, degradation through fire, climate change and