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effective and strategic decisions. Indeed, deciders face the deluge of alerts and dashboard while they would expect less but more efficient and actionable insights which are particularly relevant
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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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regimes using simulation modeling Quantification of climate change impacts on protective forests (scenario analysis) Contributions to evidence-based management decision making in mountain forests
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analyses are required. An interest in, and preferably prior experience with, genomic analysis and bioinformatics is considered an advantage. We are looking for highly motivated, creative, and ambitious
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
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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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crises (e.g., climate, pollution, biodiversity) from a broadly social cognition angle. Desirable research frameworks to explore these topics include cognition and emotion in judgement and decision-making
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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a
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analysis and determination of HIV clonality in HIV-infected cells to understand the mechanistic link between low-level protein expression and immune activation. Your Tasks: • Perform and analyze