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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
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or co-author; and supervising higher degree by research candidates. Collaborate with academic members within TBS’s Center, Cluster/Themes for research proposal development, research design, data
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Research Fellow will be employed as part of the newly awarded ARC Linkage grant, titled “Secure Management of Internet of Things Data for Critical Surveillance ”. The PDR will primarily be responsible
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about experimental testing, real-world research, and contributing to Australia’s defence capabilities, we’d love to hear from you. About the Role You’ll be part of a research team focused on large-scale
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact dustin.nguyen@rmit.edu.au Job Description – Research
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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lead and contribute to impactful research that bridges science, community engagement, and industry collaboration. Your work will help develop a national data inventory on microplastics in agricultural