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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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– an essential component of a conversational agent that supports blind people in achieving data literacy. In this project, candidates will use a new generation dynamic tactile display as a modality in
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-loss from AGB and RSG stars to study the release of elements and material into the Interstellar Medium. Simulating the mixing of elements and material released from SNe within the ISM - tracing and
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on road networks, and query processing on road networks. A number of inter-disciplinary collaboration exists, including transportation to hospitals, urban sprawl analysis, and geospatial in sustainability
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qualitative, quantitative, mixed, or interdisciplinary methods. Possible PhD directions include (for example): antisemitism in news media, online platforms, and public discourse (content/discourse analysis
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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; contemporary roots) institutional histories (political parties, unions, churches, education systems, universities, government agencies) historical analysis of antisemitic discourse in Australian print culture
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The recent discovery in 2015 of gravitational waves from colliding black holes and neutron stars has opened a new window on the Universe. Astrophysicists can now “see the unseeable” -- black holes that emit no light are regularly being observed through their gravitational-wave signatures. Since...
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). "Single factor analysis in MML mixture modelling", pp96-109, 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), Lecture Notes in Artificial Intelligence (LNAI) 1394, Melbourne