26 professor-computer-science-"https:" "https:" "https:" "https:" "Kyoto university" positions at University of Exeter
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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Funded PhD Studentship in applied geospatial ecology. This project will investigate how dryland vegetation productivity varies across space and time and how it responds to land management. Working with NEOM, one of the world’s largest ecological restoration programmes, the project will develop...
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undergraduate degree (or international equivalent) in Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, Computer Science, or a related field. A master's
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work of Dr Anna Price. This NIHR funded post is available from 1st July 2026 to 31st Dec 2029. The successful applicant will support delivery of the SmartADHD programme: ‘Co-developing a digital
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, structure, defect chemistry, and ionic transport behaviour. Comprehensive materials characterisation will be undertaken using structural, thermal, and electrochemical techniques, including X-ray diffraction
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD...
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Project Description Urban sewer and stormwater systems are increasingly stressed by climate change and rapid urbanisation. Intensifying rainfall, more frequent extreme events, and expanding impervious surfaces have increased sewer overflows that contaminate ecosystems, threaten public health,...
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, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting