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analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with
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Associate to undertake fundamental and applied research into novel deep learning approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project
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and development of computer vision and AI/ML models for traffic video analytics, focusing on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale
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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
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and data integration, with the ability to connect structured data sources to large language models. In addition, you will have exceptional communication and relationship management skills that enable
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methodologies and contribute to a new data product that integrates model outputs into our platform - helping us better understand environmental exposures and health outcomes. About This Opportunity This is a
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experience in machine and/or deep learning applied to geospatial data. Demonstrated experience in the use of HPC and handling of very large datasets. Experience in software development and contribution
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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25 Sep 2025 Job Information Organisation/Company UNIVERSITY OF WESTERN AUSTRALIA Research Field Computer science Mathematics Physics Researcher Profile First Stage Researcher (R1) Country Australia
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process