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Length and Kolmogorov complexity", Computer J
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PhD candidate will be integrated into an established research program funded by the Australian Research Council, with access to a large longitudinal dataset and to funding for qualitative fieldwork
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Play is fundamental and one of the main methods children learn skills, gain independence, and practice daily tasks that lead into adulthood. TechToy Library is an innovative, co-designed initiative creating toys specifically designed for children with cerebral palsy, empowering them to play,...
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Conservation management needs reliable information about how many animals a population holds and whether that number is changing over time. Yet for most threatened species such estimates are often unavailable or imprecise, either because the species is cryptic and hard to detect by visual...
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/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9
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the Australian Government Research Training Program Fees-Offset . About the project Workers’ compensation, Job Seeker and Disability Support Pension, are central components of Australia’s social safety net. These
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Syncytial Virus (RSV) monitoring and evaluation program of work. The position will contribute to projects under the National RSV Monitoring and Evaluation Framework, including the evaluation of the processes
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Background Colorectal cancer is a major health challenge, and early detection and accurate risk assessment are important for improving clinical outcomes. The increasing availability of clinical, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to...
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from Monash Graduate Research Office as a one-off travel grant The Opportunity As part of the CSIRO Industry PhD scholarship program , this is an unprecedented opportunity for an outstanding data science
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of foundation models in natural language processing and computer vision, this project seeks to develop general-purpose graph foundation models capable of learning transferable representations from large-scale