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Innovations Group seeks a forward‑thinking expert in statistical machine learning to translate complex biological datasets into actionable AI‑driven insights. You will enhance genomic selection and breeding
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
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focuses on scalable, AI-driven decision-making in collaboration with defence industry partners and an academic partner at the University of Melbourne. One role focuses on machine learning for decision
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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Science, Statistics, or a closely related area. Substantial research experience in applied Artificial Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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computer vision models for real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range: Level C, $144,143 – $165,809 p.a. (pro-rata) plus 17% superannuation. About the
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two