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Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist
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Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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, multidisciplinary team of around 45 researchers and support staff brings together chemists, roboticists, engineers, and computer scientists, including PhD students, postdoctoral researchers, and experienced technical
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between Carpenters Group and the School of Computer Science and Informatics. Carpenters are a market leading insurance legal services provider. Working within Carpenters, and a team from the School, you
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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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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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This 3-year residency programme is supported by and based in the Philip Leverhulme Equine Hospital (PLEH) at the University of Liverpool¿s Leahurst Campus on The Wirral. The PLEH is a large, well
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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