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on game theoretical modelling, usually employing populations of software agents to emulate the behaviour of human populations. Researchers construct models, usually based on known games, and empirical data
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migrating birds steer their flocks, how fish schools hunt, and how ants swarm when they forage. Ants are indeed a prototypical model system for the study of self-organised used behaviour. An ant colony must
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Indigenous Health Education Positions Job No.: 636959 Location: Clayton, Caulfield or Peninsula campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $114,951
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on-device ML, models must be deployed at the local mobile devices, thereby creating a new attack surface inevitably. Commercial ML models are now stored on mobile devices, which is completely out
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-offs between the modularity (henceforth interpretability) and the efficiency in existing end-to-end modular autonomous driving models. In this PhD project, student is expected to conduct research in
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to to inform policy, influence clinical practice, contribute to research knowledge and strengthen community-led solutions for new models of cancer and palliative care for First Nations people in Gippsland. As
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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operational needs. Your work will support everything from budget development and revenue modelling to compliance, financial planning, and performance analysis. To be successful in this role, you will bring with