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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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-scale AI model training, resource orchestration, cloud/edge computing, high-performance computing, or energy-efficient computing. Monash University strongly advocates diversity, equality, fairness and
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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
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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
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, and human-explanation agent. The system may be tested in controlled environments such as simulated enterprise networks, containerized cyber ranges, vulnerable applications, cloud workloads, or IoT-style
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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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to date any contribution to the architectural community examples of leadership how you would utilise this scholarship to help create a better world. Upload your video to cloud based storage (google drive
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Experience with major cloud platforms (AWS, Azure) and deep AI services Familiarity with vector databases, embedding models, and modern AI infrastructure Strong understanding of ML/AI fundamentals and when
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The Giles Family Foundation Study Abroad Program has been established by Swinburne alum Michael H. Giles, who is passionate about supporting students eager to broaden their horizons through