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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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-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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 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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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF TASMANIA Research Field Biological sciences Environmental science Geosciences Researcher Profile First Stage Researcher (R1
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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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Apply now Job no:502819 Work type:Full time Location:Hobart Categories:Research Focused Ability to integrate complex biophysical and economic data, translate research into industry‑ready solutions
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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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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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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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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