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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme, conducting comparative analyses with other regional and
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modelling and precision functional mapping with dense fMRI sampling to study the developmental trajectories of brain circuits implicated in compulsivity, and to identify the network topologies supporting
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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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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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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the implementation of wearable health monitoring technologies and wearable devices for deployment in body area networks. The successful candidate will primarily be working on two funded European projects in the area
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measurable impact that is proactively planned and supported. The research project sits squarely within ICRD’s research programme. ICRD coordinates and leads all research activity within UoA20, and through
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project