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results, and represent the research group at meetings is essential. Informal enquiries may be addressed to Prof. Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information about working at
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(for example BTEC ND, NVQ Level 3 or equivalent) and/or significant work experience at a similar level, is also essential. You will have demonstrated experience showing ability to be numerate and accurate, with
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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biophysical research and collaborating with a talented team, we’d love to hear from you! For more information about these positions, or to apply, please contact Prof. Nynke Dekker, e-mail: nynke.dekker
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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particular the graduate course on Life Course Research and the undergraduate optional course in Quantitative Methods. The main duties will also include taking part in assessment and examining and supporting
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medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated against existing imaging data. The group’s long-term vision is to impact
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ageing research, dementia or cognitive disorders to join the Cognitive Neurology team led by Prof Masud Husain to play a key role in research on apathy, anhedonia and depression across neurological
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procedures, including recording changes to the databases and datasets in a well-structured manner. To be considered, you must hold a Masters in a scientific or numerate subject, or have equivalent relevant