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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage
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strong out-of-distribution generalization capability [2]. If user-specific information is identified and removable from the input data, the devised techniques can also be applied for privacy-sensitive
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions
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the classroom? As part of the Momentum CoachED program, we are looking for experienced educators to join our team as instructional coaches. In this role, you’ll work one-on-one with teachers to translate
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are adopted and maintained. Monitor and maintain data quality, including organising and checking data sets, linking records and documenting data processes Prepare and distribute data sets to users Manage input
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Australia Telescope National Facility (ATNF), the only facility of its kind in the southern hemisphere. Our technology development program is the cornerstone of the ATNF and is an internationally recognised
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will work very closely with other TERN members distributed across the country and to solve technical challenges and mentor junior staff as and when required. Working under general direction the TERN
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. (plus 17% superannuation) Wagga Wagga (on-site) We are seeking a dynamic and hands-on Program Manager (Digital Livestock) to drive a portfolio of cutting-edge projects that span discovery, validation, and
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Antarctica. What you’ll do: Develop a statistically informed calving parameterisation that improves the projection of sea level rise from major Antarctic drainage basins Assess iceberg size distributions