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Field
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, infrastructure, and digital services that support the University's teaching, learning, research, and administrative operations - from networks and cloud platforms to servers and end-user devices. The work is
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IT disciplines, although likely to specialise in one or more areas of expertise such as, but not limed to, networking & telephony, cloud, and security. Providing an excellent experience for both staff
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likely to specialise in one or more areas of expertise such as, but not limed to, networking & telephony, cloud, and security. Providing an excellent experience for both staff and students the role holder
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to support your professional growth throughout the project. What we are looking for: You should be educated to PhD level in a relevant field such as Artificial Intelligence, Machine Learning, Computer
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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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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