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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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assurance, financial crime, synthetic data, LLM orchestration, and agentic workflows? We are seeking a Postdoctoral Research Associate (PDRA) in Artificial Intelligence and Reinforcement Learning to join a
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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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the methodology is youth-centred and developmentally appropriate. This project will involve both qualitative and quantitative methods, including cognitive interviewing, feasibility testing, and longitudinal data
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; attend public meetings and assemblies; record and manage fieldnotes, metadata, photographs, and other project data; organize and archive data, consent forms, and ethics paperwork in line with project and
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use
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spending risk affects savings. Knowledge of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is