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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
months) Position Description and Selection Criteria: PD_HDRH_Level B Postdoc Research Fellow (Computational HASS) Build from the Ground Up: Work closely with the Director and HASS Digital Research Hub
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Research Fellow in Computational Neuroscience Job No.: 686523 Location: Clayton campus Employment Type: Part-time, fraction (0.7) Duration: Fixed-term appointment until 30 November 2026 Remuneration
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
& PEWER Academic Level B Research Fellow (Computer Science) Engage with world-class computing infrastructure and work in partnership with the Australian government Develop sophisticated AI approaches
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Full time, fixed term until December 2026 Exciting opportunity to be a Research Assistant with Professor Luigi Fontana Base Salary from $89,755 + 17% superannuation About the opportunity The Research Assistant contributes to the development of research protocols and driving the execution of...
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an exciting growth phase, powered by an award-winning culture, a high-performing team, and commanding the highest share of voice within the media among Australian think tanks. The USSC’s work is widely read and
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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9 Dec 2025 Job Information Organisation/Company Monash University Department School of Mathematics Research Field Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
Australian National University, Mathematical Sciences Institute Position ID: ANU-POSTDOC [#27805, 560642] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
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maintain semi-automated design-to-build pipelines, high-throughput testing systems, and quality-control processes to ensure reproducibility, scalability, and performance. Support collaborative projects with
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, optimise, and design experiments using lab-scale bioreactor systems. You will generate the high-quality biological datasets required to train the biological layer of a digital twin, a computational model