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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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with a new cutting-edge quantitative-trading company to push the frontiers of AI-aided decision-making in quantitative trading processes. As a PhD candidate you will: Design next-generation trading
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 1 day ago
of the PaddyVision® instrument for rapid and non-destructive rice quality analysis PhD Student Scholarships: Development of Digital Twin for Decision-Support Framework in Variable-Rate Application of Pre-Emergent
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells 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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. The PhD project will contribute to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity
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case-by-case basis. The decision of the CCA board is final. For more information on priority research areas identified by people living with IBD and health professionals please read CCA’s IBD Research
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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