Sort by
Refine Your Search
-
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
-
, 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
-
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
-
. 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
-
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
-
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
-
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
-
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 booklet. About UQ As part of the UQ
-
₂ storage. In this role, you will develop multiscale geomechanical and/or geodynamic tools and workflows to assess underground gas geo-storage at basin and field scales, with applications in both data-rich
-
research team focused on advancing sustainable livestock feed through applied plant biotechnology, tissue culture, and physiology. The role offers a mix of laboratory, glasshouse, and data-driven work in a