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: $91,381 - $121,838 + 17% Super + Leave Loading Location: UNSW Kensington Campus (Hybrid Working) About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and
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opportunity CSIRO has collected large amounts of valuable environmental DNA (eDNA) data and now has the chance to use this data to transform how we observe and protect marine ecosystems. Towards this end, CSIRO
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
4 Oct 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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to pregnancy, lactation, and menopause. In this role, you will support a range of projects by managing and analysing data from clinical trials, cohort studies, and large linked administrative datasets. You will
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23 Sep 2025 Job Information Organisation/Company RMIT UNIVERSITY Research Field Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country Australia Application
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will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and presentations
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responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed