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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory
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novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on realising SONNETS' ambitious
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
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extend their studio practice by exploring more dynamic and nuanced understandings of AI and machine learning through cultural practice. Proposed projects will be undertaken through practice-based
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extend their studio practice by exploring more dynamic and nuanced understandings of AI and machine learning through cultural practice. Proposed projects will be undertaken through practice-based
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Australian National University | Canberra, Australian Capital Territory | Australia | about 10 hours ago
, even when they might appear conflicting. This project aims to forge an advanced framework uniting data science, machine learning, simulation, multi-objective optimization, and uncertainty-based