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analysis, modelling & simulation and policy evaluation. The candidate will work under the supervision of Associate Professor Rohan Sweeney and Dr. Maame Esi Woode and other researchers at the Centre
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strategies for countering harmful narratives, promoting healthier models of masculinity and informing policy and platform governance approaches. This PhD scholarship will be based within the Faculty of Arts
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do this by compiling and analysing a database of past funding decisions. PACE will also (WP-2) build an evidence-base of real patient experiences and preferences to guide decisions, ensuring health
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science, quantum science and nanotechnology, gaining state-of-the-art expertise in these areas of research. Carbon-based nanomaterials for future electronics, optoelectronics and spintronics Artificial
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
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deployment requirements. This PhD project aims to develop next-generation foundation models for privacy-preserving human-centric video analytics. Research directions will include: Human action and activity
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop