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, RACE (RMIT Advanced Computing Ecosystem) and RAIL (RMIT AWS Innovation Lab), helping researchers unlock the potential of advanced computing, cloud technologies and emerging digital capabilities. Leading
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leave, discounted RMIT childcare services, subsidised gym membership, and an Employee Assistance Program (EAP) Our values: Passion | Impact | Inclusion | Integrity | Courage | Imagination About RMIT UP
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technology environments, spanning networks, cloud computing, convergent AV, virtualisation, learning management system and global Finance and Human Resources applications platforms. High-level capability
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, implementing and managing scalable, secure research data storage infrastructure, including cloud, hybrid and preservation solutions. Strong knowledge of research data management frameworks, governance and
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world's leading data and analytics functions. To be successful in this position, you’ll have: Proven experience (3+ years) working with multiple data sets and distributed computing tools. Extensive
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proficiency in computer software packages including MS365, Adobe Creative Cloud and electronic direct mailing services with accuracy and attention to detail and the ability to learn new technical skills. Please
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Process Scheduler Experience delivering PeopleSoft patching, upgrades and change management activities Experience supporting enterprise applications within cloud environments, ideally AWS Strong Unix and
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deep hands‑on expertise in advanced analytics, machine learning and production‑level data science, alongside strong capability in SQL, Python or R, and modern cloud data platforms. Unlike a Data
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through to deployment, including iterative development, testing, and integration within cloud-based environments (e.g., AWS, Microsoft Azure). Well-developed understanding of cloud service models and
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(PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions