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enhancing national expertise in rural and remote health research and the translation of research into policy and practice. Our team is distributed across the far west, north and south western regions of New
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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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health research and the translation of research into policy and practice. Our team is distributed across the far west, north and south western regions of New South Wales. We are committed to providing
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. Strong time-management skills and ability to meet deadlines. Ability to work collaboratively in cross-disciplinary, geographically distributed teams. Desirable Knowledge and experience in sorghum or other
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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presentations, and contributing to proposal development. Working collaboratively across a distributed research team, while progressing independent research activities under broad supervision. Pursuing
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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validation of advanced algorithms for disease detection, contributing to Australia’s data-driven crop health monitoring systems. This work will support sustainable crop production and enhance national
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, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based
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implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches. Proven ability to design and run rigorous experimental frameworks, including