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Field
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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within the district boundaries, as well as many more from rural and remote parts of NSW and Australia. SLHD is widely recognised as a leader in research, education and developing innovative models of care
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within the district boundaries, as well as many more from rural and remote parts of NSW and Australia. SLHD is widely recognised as a leader in research, education and developing innovative models of care
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to pushing the boundaries of eDNA science through exploring eDNA enrichment, quantification and modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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fish sampling, baited remote underwater video and acoustic tracking. These data will be used in a metapopulation modelling context to better predict the effects of habitat modifications and loss
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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) national consultation and co-design of a model of transitional healthcare for people leaving prisons; (2) a multi-site randomised controlled trial (RCT) of the model of care, in south-east Queensland; and (3