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temporary migration influences pathways to long‑term settlement. Working with leading researchers across the Australian National University and the University of Western Australia, you’ll analyse large‑scale
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; work with census, survey and administrative data including complex longitudinal datasets; apply best practice quantitative and statistical methodologies; publish research findings in reputable peer
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advanced statistical analyses of large-scale longitudinal panel data, contributing to the development and testing of hierarchical Bayesian computational models, and producing research outputs for publication
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will hold demonstrated experience in epidemiological methodologies and data analytics. Your skills will include critical appraisal of epidemiological evidence, and statistical analysis to evaluate large
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committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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government partners. 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 community, you will have the
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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. 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 community, you will have the opportunity to work
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research expertise, strengthen your academic profile, and contribute to meaningful, large‑scale systems change that supports children to thrive. Key responsibilities will include: Co‑design, implement, and