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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying
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communities may have ecosystem level impacts that must be considered as part of sustainable management of the deep ocean, and in light of the new High Seas Treaty. This studentship will ask: how are deep-water
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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will apply nonlinear and associational (colloquially called “causal”) timeseries analysis techniques to provide a more rigorous, and more statistically significant framework for understanding
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and assess the techno-economic performance and LCOH compared to alternatives, accounting for FPV and hydrogen co-benefits (Year 2.5 – 3.5). Year1: Regional site optimization with climate justice Task
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the contract. The successful applicant will work on a highly interdisciplinary team, researching and developing cutting-edge AI technology for understanding and designing biological systems. About you The
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Economy. The post The Faculty wishes to recruit a Graduate Research Assistant to support the work of Prof Angela Gallego-Sala. This ERC funded post is available immediately until 31st July 2026, as a full
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
types in the right place at the right time to establish complex connections and functions. The dorsal midbrain, a subcortical brain region, is known to orchestrate the integration of sensory information
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Ship design is a mature discipline with a long history of using tried and tested methods, demonstrated by thousands of successful examples in use today. However, the move towards more sustainable
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published at the UNFCCC COP meetings every year. The largest uncertainty in GCB is in emissions from land-use and land-cover change, which has an uncertainty of approximately 60%. This is mainly because