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systems and its impact on human decision-making, trust, and regulatory design. As generative AI is increasingly deployed in high-stakes decision-making settings – such as financial markets, healthcare, and
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aspects of our work, with a particular focus on sustainable energy solutions and integrating data-driven decision-making tools into business operations. This position is designed for individuals who
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to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity. Students will have the opportunity
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across both academic and commercial sectors. The candidate will gain cutting-edge interdisciplinary training in agricultural systems, climate science, and decision support. This scholarship offers access
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effort, or the amount of information a player takes on board before making a decision is challenging. Can we develop AI solutions to track off-ball effort? Can we monitor how players scan the field? Can we
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commences. This research performed under this internship by an Electrical/Power Engineering PhD student will help AEMO make informed decisions about whether to pursue regional FCAS requirements
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comprehensive and nuanced understanding of patient risk, ultimately enhancing clinical decision-making and improving patient care. This innovative approach could be a game-changer in the field of medical imaging
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fusion, and statistics to support grain growers in making data-driven decisions. With a total co-investment of $56 million from the three strategic partners, this project offers HDR students a unique
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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and decision-making, and their implications for substance and behavioural addictions, compulsive eating, and obesity. The student will be co-supervised by Dr Courtney McLean. Eligibility Requirements