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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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developing novel methodologies or adapting existing techniques to new applications Analyse complex datasets using appropriate computational and statistical tools, and interpret results in the context
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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real
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active role in designing and carrying out dedicated experiments at the LHC accelerator complex. This research project addresses a key question which every hadron collider design needs to face, namely
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hardware components, notably integrating communication, sensing and computing, are essential to ensure efficient spectrum utilization and reduce hardware costs in 6G networks. Besides connectivity and
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to research on our NIHR Programme Development Grant - ADEPT: Advancing Delirium Emergency Pathways and Treatment. This research project aims to understand how delirium contributes to poor patient outcomes in
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hardware components, notably integrating communication, sensing and computing, are essential to ensure efficient spectrum utilization and reduce hardware costs in 6G networks. Besides connectivity and