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hospital or population often fail when applied elsewhere due to distributional shifts. Since acquiring new labeled data is often costly or infeasible due to rare diseases, limited expert availability, and
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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Apply now Job no:536485 Work type:Full Time Location:Sydney, NSW Categories:Information Technology, Analyst Employment Type: Full time, fixed term for 3 years role as Program Co-ordinator, RDE
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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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. Desirable Familiarity with cloud, virtual machines or distributed computing environments. Exposure to machine-learning frameworks (e.g., TensorFlow, PyTorch). Interest in developing scalable and secure
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Australia’s environmental research effort. TERN coordinates a nationally distributed set of instrumentation that contribute to data and information services that help to meet the needs of terrestrial and
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engineering expertise to solve complex, computation-heavy challenges. Architect and deliver distributed software systems using containerisation and inter-process communication frameworks. Act as a trusted
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Senior Research Computing Engineer Job No.: 685037 Location: Clayton campus Employment Type: Full-time Duration: Fixed-term appointment until 31 October 2027 Remuneration: $120,138 - $132,610 pa HEW
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engineering expertise to solve complex, computation-heavy challenges. Architect and deliver distributed software systems using containerisation and inter-process communication frameworks. Act as a trusted