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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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-first project is investigating the emotions and coping strategies of patients during an in vitro fertilisation (IVF) treatment cycle. We will use this information to develop a digital intervention to
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to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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to translate microfluidic systems into clinical settings. Analyse experimental data and contribute to high-impact publications, presentations, and patents. Produce quality research outputs consistent with
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and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD
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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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providers and communities, informed by data from other ARC-IFC themes, and guided by relational Indigenous methodologies. Key responsibilities will include: Research: Establish a research program, collaborate
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exciting Australian Research Council Discovery Project, “Resolving the value of information paradox for ecological management.” This is a unique opportunity to develop your expertise and grow your emerging
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professional bodies. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view the information