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systems in AWS cloud environments Contributing to platforms used in educational and e‑learning contexts, including Canvas LMS Working with content‑driven systems and CMS platforms such as Wagtail Ensuring
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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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their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity The Research Officer supports the development and deployment of Sugar-AI, a cloud-based
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designs and maintains cloud-based ML/AI operations on UNSW’s enterprise data platform. This role operationalises applications by establishing robust MLOps processes and automated pipelines for data
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of RMIT’s AWS ecosystem. Lead and influence technical architecture, engineering practices, and cloud strategy, and make a real impact in a forward-thinking, innovative environment About the Portfolio
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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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the program and build meaningful partnerships. Working collaboratively within a collegial teaching team, the Lecturer will keep colleagues and students informed of emerging developments in cyber security, cloud
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months 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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Geographical Information Science (GIS) that complement the School’s existing research strengths , and address interdisciplinary challenges across science, government, and/or industry. Specific areas of interest
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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