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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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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
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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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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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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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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with