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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
(HDRH) team to understand current and future demand for computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as your proving ground. Future-Focused: Explore emerging
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that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal
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project-based research for 0.2 – 0.4 FTE (to be negotiated) at the direction of the Chief Investigators in projects involving multiple disciplines (social psychology, behavioural sciences) as
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Queensland Aphasia Research Centre (QARC) | School of Health and Rehabilitation Sciences Multiple fixed-term positions available from January 2026 – November 2027 At Academic Level B, base salary
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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publications and practical research experience. You excel in both qualitative and quantitative methods, have advanced analytical skills, and can translate complex findings into actionable insights for diverse
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to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip the next generation of leaders and innovators with the skill, commitment, and vision
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Innovation (QAAFI) to develop and refine innovative AI-guided breeding methodologies in collaboration with diverse project partners. In this position, you will work across multiple crop species to advance
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI