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Group Manager - Server, Cloud & Compute Platforms Job No.: 680203 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $184,668 pa HEW level 10
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latency, increase throughput, and enable real-time resource management, preparing them for impactful roles in AI, cloud computing, and large-scale system design. A practical example of this project includes
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, Linux, VMware ESX), storage technologies (NetApp, IBM), cloud (AWS) and backup management (PowerProtect Data Manager, Data Domain, Commvault) Highly-developed planning and organisational skills, with
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Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
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codebase, enhancing RESTful APIs, and applying best practice DevOps and Agile development methodologies. About you We’re looking for someone who brings: A degree in computer science, software engineering, or
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centre networks. It combines strategic planning with deep technical expertise to ensure our research computing environments are future-ready, reliable, and secure. You will be responsible for ensuring
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biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
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intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This will ultimately meet the Quality of Service (QoS) requirements of time-critical road safety applications and
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-resistant cryptography Secure computation protocols and their applications (e.g. to private outsourced cloud computation)
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable