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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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networking, computing and sensing. Quantum technologies exploit the unique properties of quantum physics to deliver functionality that cannot be achieved using classical physics alone. A key challenge is the
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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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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
About the Project Project details: Aerial platforms such as Unmanned Aerial Vehicles (UAVs), High-Altitude Platforms (HAPs), and Low Earth Orbit (LEO) satellites will play a vital role in the next
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advanced nanoengineering techniques, the project seeks to achieve a DA biosensor with superior sensitivity, selectivity, and stability, optimised for use in complex biological environments. Background
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Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil
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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