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where applicable. Experience with Natural Language Processing (NLP) techniques and libraries for text generation, understanding, and manipulation. Proficiency in cloud platforms, particularly AWS and
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of contemporary computing, including cybersecurity, distributed systems, cloud and edge computing, software engineering, Internet of Things, computer graphics, and information systems. Key Responsibilities Prepare
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About This Opportunity Bring your cloud, automation, and infrastructure expertise to this impactful role supporting UQ’s secure and highly available computing environments. As part of the ITS
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, C#, JavaScript or similar languages (advantageous but not essential) Familiarity with Azure services and cloud-based solution design (beneficial but not mandatory where strong learning capability is
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computer science or a related field, supported by extensive experience leading enterprise-scale data platform environments. Demonstrate a proven track record in designing and implementing large-scale cloud platforms
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months 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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expertise across research, experience design, and journey thinking. This role will play a key role in a Digital Journey Orchestration initiative and amplify the Voice of Customer program, ensuring insights
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the IAM Cloud Services Manager. The role reports to IAM Cloud Services Manager and has no direct reports. Specific accountabilities for this role include: Resolve issues/requests/problems raised in UNSW’s
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the auspices of the CSS program, including meeting program timelines and deliverables. Support the development of standardised data models to support drill-down reporting from executive-level views