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institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections
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industries like pharmaceuticals, food processing, and construction, the project may also incorporate machine learning methods for model calibration and optimisation, driving more sustainable material handling
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promising sustainable alternatives to conventional epoxy systems. Their excellent thermal stability and favourable fire, smoke and toxicity performance make them strong candidates for safety‑critical
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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with over 60 companies. The research will focus on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several
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develop novel nanostructured diamond-based materials for advanced PV applications, leveraging the unique properties of the diamond structure. The ultimate goal is to create PV materials capable
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systems research. Our ambition is to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and
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in the study of Exotic Nuclei, Structure, Astrophysics and Reactions. The group includes around 15 physicists (permanent researchers, post-docs and doctoral students). The evolution of nuclear
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approximately 80,000 homes; in Australia, annual costs exceed AUD 982 million. These failures disproportionately affect vulnerable communities and require utilities to make timely, accountable intervention
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Mathematics, with a strong background in probability theory and complex analysis. Skills in differential geometry are also required. The thesis topics will focus on constructive field theory for conformal field