109 cloud-computing-"https:"-"https:"-"https:"-"St" positions at King's College London
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About us The Department of Mathematics are looking to recruit a full-time Programme Manager who will be responsible for the operational management of the taught programme provision across
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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manages the CREATE ecosystem (Computational Research, Engineering, and Technology Environment), a suite of advanced services that includes High Performance Computing (HPC), Cloud platforms, and Trusted
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architecture as familiarisation with RDBMS, Cloud computing, AI systems and data security, etc. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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the following skills and experience: Essential criteria 1. Bachelor’s degree, or equivalent experience, in Computer Science, Software Engineering, Information Technology, or a related field. 2
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through Azure cloud technologies, and enabling seamless data integration and quality management across the university. Joining this dynamic team offers an exciting opportunity to contribute to impactful
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performance computing environments, and the use of cloud-based platforms Expertise in the design, development, and application of Digital Twins, including data driven and hybrid modelling approaches for complex
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-term health conditions, health economists, statisticians and policymakers. The post-holder will work as part of a team on REFUEL-MS, which is a 5.5-year programme of research jointly funded by the MS
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collaboration with designer. Experience with cloud-based hosting (AWS, Azure) or Linux server management. Please do not submit a cover letter. Instead, please provide your supporting statement as a bullet point
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data