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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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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