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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion (or near completion) of a PhD in a relevant discipline (Demography, Geography, Economics
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
coding a large social survey; the role will include undertaking social media analysis, interviewing and participating in focus groups, thought collectives and help with the transcription of interviews
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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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such as teacher education across local and global contexts. It requires strong methodological capability, particularly in quantitative approaches, and the ability to contribute to large-scale and
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of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection. Initiate, design and conduct quantitative research using advanced
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small molecule team. The role of the Research Fellow report to the Director of BMSF and has no direct reports. The Organisation UNSW isn’t like other places you’ve worked. We are a large organisation with
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24 Mar 2026 Job Information Organisation/Company ADELAIDE UNIVERSITY Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 6 Apr 2026 - 00:00 (UTC
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets