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creators to its impact on everyday experiences, identities and issues such as data-driven discrimination, scams and harmful advertising. Working within a collaborative research team, you will investigate
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Fellow will contribute to experimental design, data analysis, manuscript preparation, grant development, and the supervision of students and research staff, helping to advance the laboratory's
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position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in a relevant discipline area or equivalent. An established research profile in
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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them The Opportunity Join the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare
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include: Flow cytometry assessment of immune cell responses to stimulation. Design and optimisation of flow cytometry panels and analysis and interpretation of resulting data. Integration of flow cytometry
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, biogeochemistry, sedimentary-hosted mineral deposits or geospatial data analysis experience applying geological and geochemical datasets to understand Earth surface or mineral-system processes proficiency in
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and contributing
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organisations, and ensure the research is conducted in culturally safe, ethical and relational ways. You will contribute to data collection, analysis, interpretation and dissemination, producing high-quality
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adoption. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You You will be an ambitious and purpose-driven researcher with a