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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
Fully funded PhD at Cranfield University, supported by the EPSRC DTP and Rolls-Royce. This 3-year project covers tuition fees, a tax-free stipend, and funding for training, conferences, and a
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We are inviting applications for a fully funded 3.5-year PhD Computer Science studentship at the University of Warwick, jointly supported by GlaxoSmithKline (GSK), to work on an ambitious project
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continuous lifetime treatment. Recent efforts to cure HIV infection have focused on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied
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experience. At present, uptake of these technologies is limited and so measured demand profiles are relatively low in number and not fully representative of the GB domestic market. Aim: To develop a portfolio
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Award summary 100% of home tuition fees paid and an annual stipend (living expenses) of £20,780 Overview Interested in developing new experimental systems for previously unknown disease mechanisms
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training in green hydrogen and wind energy. The University of Strathclyde leads the wind energy research and training components of the programme. Funded by Natural Power and the EPSRC, this four-year PhD
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powerful AI companies, in democratic security, and analysis of the development of new forms of agentic and adversarial AI that could undermine democracy. The candidate will be based in Lancaster University’s
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The University of Stirling invites applications for up to three PhD positions in Applied Economics within the Applied Economics Lab, a vibrant research cluster in the Economics Division of Stirling
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project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive
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PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Remote Working in Diagnostic Imaging: Evaluating Productivity, Support, and