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Field
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analysis of operational data generated by software delivery and DevOps workflows. The postholder will work with data from sources including GitHub Actions, CI/CD pipelines, cloud infrastructure, logs
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, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and demonstrable experience in at least one relevant technology (e.g. HPC, Cloud computing, storage hardware configuration
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software developers, this role focuses on integrating advanced computational methods with scalable cloud platforms to streamline data processing, analysis, and sharing. The successful candidate will have a
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that valuation outputs are interpretable by non-technical users Deploy the prototype to a cloud environment (e.g., AWS, Azure) and ensure it is accessible for stakeholder demonstrations Document
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into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading
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Here at Sheffield Hallam University we are recruiting for a Lecturer in Data Science and Artificial Intelligence. At the intersection of computing, mathematics, data analytics, and AI
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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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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