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for the development of a decision-making tool to assist the evolution of local electricity networks integrating a growing share of renewable energies. PhD objectives and methodological approach The PhD student's main
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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-termWorking TypeHybridAvailable for SecondmentNoClosing Date14-Jun-2024 A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute
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PhD Supervisor: Dr Marcus Newton Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn Project description: The University of Southampton is expanding its PhD
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underlying causal relationships that govern visual phenomena. This PhD project aims to address this limitation by focusing on causal representation learning applicable to computer vision. The outcomes
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. The machine learning group encourages national and international collaboration for the overall development of its researchers. Duties As a PhD student you are expected to perform both experimental and
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machine learning for 24/7 movement behaviour’ funded by the European Union’s Horizon Europe research and innovation programme (grant agreement No.101072993). The PhD project is expected to start in summer
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seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure. The project focuses on learning the effective behavior
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Machine Learning Research Laboratory is looking for a doctoral
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. The PhD position is part of the sub programme “Living Lab Learning Environments”. Aim is to develop a scientifically grounded co-creative approach to innovation which is reproduceable and scalable. It aims