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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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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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missing modalities and distribution shift. Design uncertainty-aware decision frameworks for downstream tasks. Expected Contributions This PhD project is expected to contribute: Scalable Bayesian uncertainty
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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, from swarm robotics to mesh networks. The prototypical model system for the investigation of self-organised task allocation are social insect colonies, such as bees and ants. They are able to distribute
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. We are seeking an experienced and motivated Lecturer in Science Education to join our dynamic School of Education. This is an exciting opportunity for an educator with a strong background in secondary
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are undertaking research in aerospace engineering and specifically on the application of distributed propulsion systems on future aeroplanes. Project details: Despite being some of the most complex and efficient
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reconciliation in continuous variable quantum key distribution. Expression of Interest - PhD Opportunity in error correction codes for free-space quantum communications We invite expressions of interest to enrol
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electric vehicles using AI technology. The role aims to advance thermal performance through innovative energy distribution and waste heat recovery strategies. The Postdoctoral Research Fellow will undertake