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, demonstrating collaborative citizenship, and building external partnerships with industry, government, and community stakeholders. This is a research focused position. Further information can be found by viewing
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administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
to build positive, respectful relationships in a cross-disciplinary environment are also required. For further information please contact, Prof. Danielle Way,E: Danielle.Way@anu.edu.au The University
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
. For further information please contact Dr Jorrit Gosens, E: jorrit.gosens@anu.edu.au . ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background
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. For further information please contact, Prof. Danielle Way, E: Danielle.Way@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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collaboration with national and international development partners. Collect and analyse data from fieldwork and desktop research Develop and maintain global stakeholder networks in poverty and sustainability
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research