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Field
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the Technology Missions Fund (TMF), CHEDDAR explores how communications systems can underpin next generation computing and how cloud systems and AI can bolster communications, as well as working in sensing and
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or more of the following sub-disciplines: Cybersecurity; Cloud Computing; Computer Programming (C++, C#, python); Software Development; Mobile Application Development; Artificial Intelligence, Machine
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, cloud, and security. Providing an excellent experience for both staff and students the role holder will work closely with the Service Desk and other specific IT service areas in a 3rd line support
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trial projects within Data Safe Haven (DSH) environments, Redcap and the administration of user permissions using GPO and security groups Understanding of cloud computing, it’s principle and core concepts
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relevant industrial/commercial experience. Experience teaching university-level courses in high-performance computing, cloud computing, and computer architecture, appropriate for the level. Research
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high-performance computing, cloud computing, and computer architecture, appropriate for the level. Research expertise in high-performance computing, aligned with the School’s current activities
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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high-profile bespoke web systems and cloud native services, and modernising existing applications. Our services are public-facing and support University staff and students (~60,000 people) meaning your
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to specialist computing resources, in particular cloud-based resources but also specialist physical computing equipment. Keep up to date with relevant technologies and developments to be able to offer appropriate
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design