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specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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working with families, professionals and teachers to best support neurodivergent children and young people in different settings. You will lead data collection using quantitative and qualitative methods
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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Commonwealth and Development Office (FCDO) aimed at providing active fault maps and information about earthquake potential and related hazards in proximity to major hydropower developments in Kyrgyzstan. The
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modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research
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patterns and ability to work under pressure without compromising accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding
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experience; Informal enquiries may be addressed to Prof Daniel Eakins (daniel.eakins@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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@eng.ox.ac.uk ). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 5 September 2025 can be considered. You will be
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach