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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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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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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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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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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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Programme. On site nursery is available and children’s clubs in the summer holidays. Family friendly policies, including maternity and adoption leave, which are among the most generous in the higher education
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semiconductor science at Swansea University’s new state-of-the-art Centre for Integrative Semiconductor Materials (CISM) and will contribute significantly to the EPSRC programme grant "Terahertz frequency devices
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Hydrogen Partnership project through the HORIZON programme investigating direct electrolysis of seawater to generate green hydrogen. You will join a consortium of 8 partners from 6 countries dedicated
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals