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Fixed-term: The funds for this post are available until 30 April 2027 in the first instance with good prospects for further extension subject to grant funding. The anticipated start date is 1st
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programme. Details of how to apply for the PhD programme are available at this page: https://www.sheffield.ac.uk/postgraduate/phd . When you apply, you should include the supporting documents relevant
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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October 2025 Studentship details Introduction The project will be funded through the NIHR HealthTech Research Centre in Brain Injury (HRC) Fellowship Programme, which has been designed to support research
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the Computational Foundry, a world-class centre for computational research, part-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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computational recourses for limited duration yet highly accurate particle-in-cell (PIC) modelling. Kingston University has developed a simulation model, dubbed PERSEUS, that narrows the gap between these two
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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(Enrolment open from mid-September) Supervisors: Dr Saptarsi Ghosh Prof David Ritchie Dr Dan Lamb Aligned programme of study: PhD in Electronic and Electrical Engineering OR PhD in Materials Engineering Mode
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim