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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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. About the opportunity Apply cutting‑edge data science, computer vision, deep learning, and generative AI to agricultural and phenomics research across UWA, DPIRD, and national APPN partners. Coordinate
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, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will co‑lead a multidisciplinary research
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well as leading and collaborating on research projects. We strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Data Science, Machine Learning
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OT students balancing fun and learning on placement in Atherton! Are You Interested in Going on Placement in North Queensland? Going Rural North offers nursing, midwifery, allied health, and
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. Details of the role This Data Scientist role offers a unique opportunity to work at the intersection of artificial intelligence, machine learning, and healthcare. The role will contribute to designing and
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Excellent written and verbal communication skills High-level computer literacy, including Microsoft Office and data systems About Monash University At Monash , work feels different. There’s a sense of
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the organisation. About you: Degree in Computer Systems or Software Engineering (or related discipline) Experience in software development, including WPF and ASP.NET Core Familiarity with JavaScript frameworks
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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improvement initiatives. Computer literacy with the ability to utilise a maintenance management system to effectively procure goods and services. Special Conditions This position will be responsible