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significant programme of high-quality, impactful, and externally funded research in analytical geochemistry, employing analytical, experimental, and/or observational approaches to study geochemical and high
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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. Working under the direct supervision of the Group Lead, the Research Officer will assist in delivering high-quality experimental and technical research services to support the lab's program outcomes
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
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Research Training Program (RTP) Stipend Research Training Program (RTP) Scholarships, funded by the Australian Government, support both domestic and international students undertaking Research
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Make an impact and join the Safer Community Unit team as a Clinical Specialist and Investigator. The Clinical Specialist and Investigator assists with the ongoing operation of the Safer Community Unit
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]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach Poorya Zaremoodi