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Field
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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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infrastructure to a modern cloud environment, transforming core business processes across Finance, HR and Student Records. As the programme moves into implementation, we are seeking experienced change
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Computing) at King's College London is expanding with the mission to help enable and facilitate computational and data-intensive research across KCL Faculties. We regularly add to our HPC cluster and Cloud
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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the experience of staff and students while enabling the University to realise the full value of its cloud ERP investment. This role is ideal for someone with experience of financial business processes and
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following: Essential Criteria: 2:1 Honours Degree, or equivalent, in Computer Science, Electrical/Electronic
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secure, reliable and up to date. You will support a diverse range of technologies including Windows and Linux environments, specialist software, AI infrastructure, cloud platforms and advanced computing
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centralised, cloud-based deployment of Foundation Models (FMs) towards a Resource-driven Computing Continuum (RCC): a layered architecture that seamlessly spans Cloud, Edge and IoT tiers, deploying intelligence
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engineers building high-profile bespoke web systems and cloud-native services, and modernising existing applications. This is a hybrid position, with amazing benefits, like a defined benefit pension and 41
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should have experience in the following areas: Multi-Platform & Cloud Troubleshooting: Expert level root cause analysis and diagnosis across Windows Server, Linux (RHEL and other distributions), Azure, and