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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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. (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
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to support the Energy Systems research program. Help deliver impactful science used by decision makers in the private and public sectors. Work in a supportive environment with world class facilities. About