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of agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital decision tools can be harnessed to support smarter, more agile on-farm decisions. It offers a unique opportunity
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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics
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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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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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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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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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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
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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