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, the Professor of Primary Care and System Integration, and key industry partners including the National Multidisciplinary Primary Care Research, Policy and Advocacy Consortium. The role involves in-depth analysis
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at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms compile data sets relevant to research in
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discipline such as computer science, data science, digital forensics, cyber security or a related field with demonstrated application to the surveillance or analysis of internet related crimes. Demonstrated
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, including research design, ethics approval, data collection, analysis, reporting, write academic papers, industry reports, research communication articles, develop and deliver research outputs and tools
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Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software
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join our Injury Analysis and Data team. In this pivotal role, you will contribute to cutting-edge research that informs policy and practice applying safety science to prevent injuries in areas such as
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development and to conduct large-scale re-analysis of existing and emerging eDNA metabarcoding datasets obtained in Australian coastal waters. Your high-level duties will include: Conduct large-scale analysis
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI, spatial computing, computational creativity, text encoding, social media analysis
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demonstrated application to the surveillance or analysis of internet related crimes. Demonstrated experience in digital tool development, including relational databases, webscraping and webcrawling tools, online
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complete Data management for the project including data collection, cleaning, coding, analysis and interpretation of primary/secondary datasets using statistical software packages collaborate and build a