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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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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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of Lincoln. This Leverhulme Trust-funded International Professorship project will involve the development and impacts of Dynamic Functional Materials. The programme is structured around the following themes
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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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Application Deadline 16 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Prof Max Roser. This pioneering programme aims to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By
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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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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research