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of machine learning and symbolic reasoning to address complex and structured problems, including knowledge representation, reasoning systems, and hybrid AI architectures, while playing a key role in advancing
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related discipline. Knowledge, Experience, and Skills Demonstrated research excellence in power systems engineering, evidenced by a strong track record of high-quality publications, successful research
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challenges in astronomy and non-astronomy domains. Committed to research translation and impact (T&I), CIRA is committed to engaging with partners to share our skills, knowledge, and expertise for mutual
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or application of AI and data-driven technologies. Knowledge, Experience, and Skills Demonstrated experience, or the capacity to contribute to high-quality teaching at the undergraduate and postgraduate levels in
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translation and strategic partnerships across the University and beyond. Established in 2016, CIDS is Curtin University’s interdisciplinary knowledge accelerator for data science and high-performance
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team Desirable: Experience with Nextflow pipelines Experience with 21cm cosmology data and workflows Knowledge of, and experience in, FAIR coding principles, including collaborative coding practices
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. You bring expertise in areas such as machine learning and symbolic reasoning integration, knowledge representation, reasoning under uncertainty, and interpretable AI, and demonstrate the potential
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challenges in astronomy and non-astronomy domains. Committed to research translation and impact (T&I), CIRA is committed to engaging with partners to share our skills, knowledge, and expertise for mutual
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translation and strategic partnerships across the University and beyond. Established in 2016, CIDS is Curtin University’s interdisciplinary knowledge accelerator for data science and high-performance
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an advantage. Knowledge of CAD drawings, as-built documentation, floorplans, and space data Demonstrated ability to work through complex issues and produce analysis of preferred options in a complex and often