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design, molecular biology, and data-driven discovery to advance understanding of human retinal disease mechanisms and support the development of new treatments. The role includes undertaking both
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focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest
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-phenotype-process outcomes. Apply design of experiments (DoE) and statistical modelling for process optimisation. Generate data to support regulatory and translational pathways. Deliver experiment results
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Dr Yee Lian Chew, the successful candidate will play a key role in designing and conducting experiments, analysing data, and preparing manuscripts for publication. This position is part of an ARC
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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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demonstrating values-based leadership that supports wellbeing, inclusion, and organisational excellence. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in sport & exercise sciences, rehabilitation sciences, rehabilitation medicine, public
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data
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requirements of the role and how your skills and experience will ensure your success in the role. Further information is available by contacting Professor Karla Canuto on (07) 4232 1570 or via email to
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Job no:521360 Work type:Full Time Location:Crawley Categories:Arts, Business, Education, Law Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real