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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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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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component with cutting-edge materials synthesis and advanced analytical methods. These positions can offer you an exceptional opportunity to work closely with key research participants around the world. To be
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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roles for transcription factors such as PLZF in sustaining SSC activity and highlighted the importance of growth factor signalling in regulating SSC fate. This position will focus on uncovering
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expertise in sedimentary geochemistry. It is expected that the candidate will have experience in collecting elemental geochemical data and interpreting them in terms of sedimentary processes that may include
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of Animal and Veterinary Bioscience. This role will contribute to advancing research through the design, conduct, and analysis of in vitro testing and intensive animal trials, as well as the preparation
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data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data
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or knowledge of invertebrates within southern Australian agricultural systems Experience with molecular methods for species identification and/or population genetics. Knowledge of statistical analysis, data
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-aperture testing of advanced thermal compensation schemes; advanced numerical simulation and analysis tools; improved opto-mechanical sensors for current GWD; high-precision measurement of optical absorption