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compressed into lightweight student models using knowledge distillation, enabling efficient real-time inference on mobile devices. The distilled models will be deployed and optimized on mobile platforms, with
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external suppliers to secure optimal outcomes for event logistics, including venues, catering, photography and audiovisual requirements. Support the preparation of event briefing material, such as run sheets
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2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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· conduct detailed analysis of data profiling, source-target mappings, Ingestion development, tuning and optimization, testing, and implementation. · develop and design the enterprise data models in
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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determining the appropriate design pattern for a specific scenario, identifying relevant quality attributes for a particular design choice, and recognizing the optimal timing for implementing a refactoring
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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. Collaborate and work closely with technical teams to ensure optimal solutions that meet business requirements. Play a lead role in contributing to policy development and creation for selection of architecture
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generative artificial intelligence (genAI) ocean current forecasting and ship route optimization systems as part of the project “Ocean forecasting for decarbonising Australia's Scope 3 transport supply chain
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and biosecurity. Key responsibilities will include: Deliver high-quality animal care, husbandry and breeding services for laboratory rodents and other species, ensuring optimal animal welfare, colony