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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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. #sustainability Project description For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD
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teams across geographically distributed environments. Highly developed communication, negotiation, and interpersonal skills, with a demonstrated commitment to work collaboratively with Aboriginal staff
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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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monthly stipends. This research direction will involve close collaborations with Prof Lin Chen of China. The supervisor is currently engaged in a joint research project with Prof Lin Chen that will fund
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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advance coastal science and resilience. This role reports to A/Prof Mitchell Harley and Prof. Ian Turner, supporting Prof. Nasser Khalili of the School of Civil and Environmental Engineering, and has
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community-based beach monitoring program. This role reports to A/Prof Mitchell Harley and Prof. Ian Turner, supporting Prof. Nasser Khalili of the School of Civil and Environmental Engineering. The CoastRI
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...