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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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maintenance of large-scale GPU clusters within our data centres, ensuring optimal performance and reliability. Strategy Development: Develop, execute and evangelize GPU strategy which considers platform
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We currently have an opening for a
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and AI models for researchers in industry and academic institutions. The data and the development of AI within the platform, in partnership with clinical, academic and industry partners, will require
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within the Transformation Portfolio to deliver the aims and objectives of Vision 2029. The Senior Project Manager is responsible for the day-to-day running of a number of large and complex projects
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the bigger picture. You’ll have experience in data storytelling and visualisation, a keen eye for detail, and the ability to drive meaning from large datasets to generate clear, high-quality insight that makes
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true team player, customer focused and provide support across the University. They will have experience in the use of large data systems and a good understanding of data structures. They will be able
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management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now
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Experience with a high-level programming language (e.g. Python, Julia) Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
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This role sits within the Infrastructure team in the Information Services department. The post holder is expected to have a good understanding across a broad range of IT disciplines, although likely