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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians at Great Ormond
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We are delighted to invite applications for a PhD studentship at the Cicely Saunders Institute, King’s College London as part of an NIHR funded programme - Improving Care for children with life
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We are seeking a Research Assistant to enrol in a 3-year Research Doctorate employed at the Department of Civil and Environmental Engineering, Imperial College. The post will carry out research as
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, outlining your motivation for applying to this project. On the ‘Choosing a programme’ page, please select Department of Forensic and Neurodevelopmental Sciences Research MPhil/PhD Full-time. In the Funding
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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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, Imperial College. The post will carry out research as part of the NURISH (NURturing transformative capacities, Innovation in NBS and Harmonious resilience in rural areas) project. It is funded by the Horizon
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Salary Funding covers tuition fees (approx £5-8k per year) and a tax free living allowance for 3 years (approx £22-£24k per year if studying full time). A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language...
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Funding provider: Sony CSL - Paris Project start date:Flexible before October 2026 Supervisors (*lead): Aligned programme of study: PhD in Network Science About the Complex Connections Lab
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based