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range of professional backgrounds including business, management, policy, technology, design, consultancy, law, communications, and others. To support the ongoing delivery of this programme and its
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supercomputing hardware, as accelerators are increasingly used in large high performance computing systems. NCAS@Cambridge lead the development of the United Kingdom Chemistry and Aerosols (UKCA) model for NCAS
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. The IoA, in collaboration with the University Research Computing Service and the University of Cambridge Open Zettascale Lab (COZL) [https://www.zettascale.hpc.cam.ac.uk ] is investing in specialist
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Programme for Scientific Discovery (https://acceleratescience.github.io/index.html ) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges
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to appoint a part-time Senior Teaching Associate. The successful candidate will be primarily responsible for contributing to the learning and teaching programme, as well as supporting the delivery and
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enthusiastic approach to science. You will hold a PhD, or be near completion of a PhD, in biochemistry, computational biology, immunology or a related area of molecular biosciences. You will be skilled
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About the Role Computational modelling is at the core of climate science, where complex models of earth systems are key to the scientific process. Most models embed significant inherent and
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We are looking for an IT Support Technician to join the Department of Engineering's Information and Computing Services group (ICS) based at the Department's site in Trumpington Street. ICS provides
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remarkable; working within the Technology Development and Licensing (TDL) team, you will guide academics as they move from frontier research towards application through the commercialisation of their ideas and
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on methodologies for nowcasting and forecasting epidemics. The project is in collaboration with the Department of Computer Science and Technology at the University of Cambridge and the UK Health Protection Agency