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discover them The Opportunity The Faculty of Information Technology is seeking a Research Fellow to advance cutting‑edge research in neuro‑symbolic artificial intelligence within the Department of Data
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 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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external partners, support unit activities, and demonstrate behaviours aligned with University values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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preparing ethics applications, to engaging with stakeholders and collecting data through surveys and naturalistic driving studies, your work will be integral to shaping safer communities. What you’ll do
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. Click Apply button above to access. Closing date for your Expressions of Interest will be 30 April 2026 @ 5pm For further information please review the Vice-Chancellor’s Research & Impact Fellowship
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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of the Australian Higher Education System,” which aims to analyse the Australian tertiary system using linked ABS and Department of Education data to inform policy on graduate earnings, peer effects, and field
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of chronic diseases using wastewater-based epidemiology. This will involve integrating evidence from systematic reviews, epidemiological studies, and wastewater-derived data to build comprehensive, predictive
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establish a distinctive research profile, with a particular focus on Green Energy Investment and Trade in Asia. The role will suit a candidate with strong data analytical capabilities, demonstrated knowledge