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challenge due to diverse and unique characterises and interests. The successful candidate will develop a framework for co-designing serious games that leverage Generative AI, working with individuals with LD
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Match Officials Limited. This project aims to develop deep insights into the spatiotemporal characteristics of soccer match officials’ movement and positioning in the context of decision-making
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Modelling and Flow Analysis Group’s most recent research achievement to develop a new-generation interdisciplinary physical-engineering-environmental numerical modelling framework to investigate mass and heat
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studentship from Songbird Survival Charity, and the successful applicant will be expected to contribute to public science education via Songbird Survival’s network and outreach events. Previous experience with
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-observer variations. Current AI models use single modality inputs, failing to effectively integrate data from multiple sources due to their heterogeneity. This project aims to develop a novel solution for
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across various industries. We seek motivated individuals with a passion for research and a drive to advance cyber risk management. PROJECT AIMS AND OBJECTIVES The aim of the project is to develop processes
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aims to develop generative models for use in the clinical assessment of movement disorders, such as Dementia, Parkinson’s and Delerium. You will be part of a cross-departmental team at the intersection
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applicable to existing blockchain networks for quantum-safe properties. Project aims and objectives The project aims to develop a framework for the design of a quantum-resistant blockchain applicable
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the academy department, to support the male youth academy coaching and sport science staff and conduct talent identification-related research. The successful candidate will develop audits of the current
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new research and innovation partnership with Manchester United Football Club. The successful candidate will be embedded across the two institutions. You will develop innovative real-time imaging