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reliably with digital-twin and analytics systems Support secure deployment, configuration, testing, debugging and operation of the demonstrator, including cloud-based components where appropriate Populate
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visual analytics tools, cloud or API-based AI tools, LLM workflows, agent orchestration, retrieval-augmented generation, or automated machine learning pipelines is relevant to the role; applicants are not
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edge-cloud networks. Additionally, the project will develop novel approaches to implement an adaptive approach to policy and governance management across distributed networks based on operating context
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Innovation Observatory (IO), based at Newcastle University. You will play a central role in the technical leadership of IO’s in-house, cloud-based platform for ingesting, structuring, and delivering health
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should have a technical background in our core technologies, including server and operating system management, networking, telephony and virtualisation technologies on premise and in the cloud. You will
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management tools Experience with application lifecycle management, product backlog management and/or service delivery Familiarity with cloud-based applications, APIs, databases, data pipelines or software