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our growing team in Cloud Computing. As an Associate Lecturer or Lecturer in Cloud Computing, you will contribute to the delivery of high-quality teaching and impactful research that equips students
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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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an opening within our Cloud and Infrastructure team as the Senior IDS Infrastructure Officer. This pivotal role within our Information and Digital Services portfolio is responsible for the technical
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Engineering team, responsible for the implementation, configuration, automation, and support of cyber security services across on-premises, public, and hybrid cloud environments. This includes integrating
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to work across time zones as needed. If you’re excited by cloud engineering, large‑scale scientific computing and the chance to contribute to a major global science mission, this is a great opportunity to
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 21 hours ago
hands-on access to Australia’s national supercomputing infrastructure—including world-class HPC clusters, large-scale GPU systems, cloud platforms, and high-performance file systems. You’ll support
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 7 hours ago
) Application Deadline 22 Mar 2026 - 00:00 (UTC) Country Australia Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Opportunity The Systems Administration/Automation Engineer supports the delivery of secure, reliable and scalable infrastructure services across on-premise and public cloud environments. The role focuses
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows