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Postdoctoral Research Associate in spatial omics, artificial intelligence and computational pathology. The role will develop and apply computational methods for analysing kidney biopsy data, integrating
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Full time, Fixed term for two (2) years with potential for extension contingent on funding Opportunity to contribute to world-leading research in future intelligent wireless communications and AIoT
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, including patient engagement, co-design activities, data collection, analysis and dissemination of findings. Your key responsibilities will be to: Coordinate and manage day-to-day delivery of the SICKMEDS
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at the intersection of advanced microscopy, atom probe tomography (APT), artificial intelligence and materials science. Working with world-class characterisation facilities, they will develop quantitative and AI
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systems, data collection for machine learning, wireless physical layer, radio electronics, explainable AI strong problem solving and analytical skills. To keep our community safe, please be aware of our
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in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection
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conduct scientific experiments, and collect, analyse and interpret data Contribute to managing and maintaining laboratory equipment Generate and disseminate high-impact research outputs, contributing
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knowledge gaps relevant to the Quality Use of Medicines, and use findings to inform study design, analysis and interpretation. Undertake data collection, data management and data analysis, including
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are related across Australian housing types; including coordinating a year-long field monitoring campaign, collecting and analysing sensor and occupant perception data. Reporting to Associate Professor Arianna
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that investigate how mould prevalence, indoor environmental quality, and occupant health are related across Australian housing types; including coordinating a year-long field monitoring campaign, collecting and