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) Based at our St Lucia Campus About This Opportunity Join a high-impact, collaborative research program at UQ as a Postdoctoral Research Fellow, working at the intersection of visualisation, visual
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: 04EX783), pp439-444 Frey and Osborne (2013) Frey and Osborne (2017) P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc. 16th Australian Joint
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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interpreting MS data with the team. Develop and apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners
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Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
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embodies a broad range of research interests in the areas of applied and pure mathematics and statistics. In Pure Mathematics, the School has particular research strengths in Algebra, Analysis, Combinatorics
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and administrative support Assist with ordering research consumables Undertake literature searches and reviews Assist with routine team administration Assist with preparing reports, graphs, figures and
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation of complex socio-technical or organisational systems causal inference, econometric analysis, or formal