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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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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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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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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
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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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track-record in acquiring and analysing data from non-invasive brain stimulation and neuroimaging approaches (specifically [f]MRI and MRS) to drive this exciting and ambitious project. This post will
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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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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neurological function, including in rugby and snow sports. You should hold or be near completion of a PhD/DPhil in Biomedical, Electrical or Information Engineering or other relevant disciplines, and possess
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated