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demonstrated in small-scale laboratory studies, its application for hard-rock ore at large-scale is almost entirely unexplored. This PhD aims to bridge this critical knowledge gap by developing novel finite
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
supervisor Prof. Shiqiang Wang (https://shiqiang.wang ) has recently moved to the University of Exeter after nearly 10 years of industry experience in the United States. He will bring a unique vision, hands-on
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About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they are fundamentally limited by a "one model for one task" design philosophy. This approach incurs...
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About the Project Project details The forestry industry in New Zealand, with NZ$5.89 billion in annual export revenue, is under pressure due to cyclones and tropical storms. Sales are arranged ahead of harvest using estimates of wood production constrained by UAV and Airborne laser scanning...
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Project details: Background: Diabetic Retinopathy (DR) is the leading cause of blindness in working aged people. All people with diabetes aged over 12 need annual retina screening by attending ophthalmology clinic. This produces over a billion retina images every year. However, about 50% of...
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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 generation of wireless communication (6G) to extend network coverage, supporting diverse...
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About the Project Project details: This PhD project will involve the design and development of 'place based' indices and processes for measuring and improving human and planetary health and
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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allowing us to recognise individuals on the basis of visual and vocal characteristics and automate the large-scale quantification of behavioural and physiological responses. The aim of this PhD is to combine
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to guide conservation under accelerating climate change. This PhD project will therefore integrate climate data with physiological and behavioural systems, by creating a digital twin framework that