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on and 4 off (days and nights, including weekends and Bank Holidays) We offer a comprehensive training programme to help you within the role, with new members of staff enrolling on the NVQ Level 2
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of data management, reporting processes, and visualisation tools to inform estates strategy, improve data quality, and enhance performance monitoring across the department. You¿ll be at the heart of our
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expected to develop an internationally competitive programme of research in the broad area of maternal and perinatal health. They will be expected to collaborate with the wider research team in
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volunteers at the University of Liverpool. You will manage a personal fundraising portfolio of high-net-worth alumni and non-alumni individuals. You will be an exceptional communicator, and a confident and
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to fostering collaboration and trust across the research community. You should have a Degree in computer science (or degree with strong computational component e.g. mathematics, physics, biomedical engineering
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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with Education, Cardiac AI Echocardiography, and Point-of-care Testing. This prestigious MD fellowship offers an exciting opportunity to contribute to a high-impact multi-centre study, aiming to improve
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of specialists in Oral Medicine and their academic work will be aligned with the internationally renowned Liverpool Head and Neck Centre. Academic Training: The academic component of the programme will be overseen
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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to acceptable standards, within the agreed programme and within the approved budget allocation in a safe way following the Health and Safety policies of the University. You will also oversee or on an audit basis