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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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rapidly expanding Early Career Researcher community, who offer peer support alongside a broader university programme of professional development activities for research staff. The department resides in a
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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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an interdisciplinary research team, led by Dr Tom Hiscock, who uses computational and theoretical approaches to understand fundamental questions in developmental biology (see https
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve