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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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utilisation, medication use, mortality, and other outcomes of people receiving aged care services. ROSA’s efficient model leverages existing information, bringing together diverse datasets collected by
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Characterization Techniques Study the advanced electrochemical characterization methods. Gain deep insights into the reaction models associated with PCFCs. 3) Understanding of Electrocatalytic Performance and
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are made where and when; supernovae (mechanisms and nucleosynthesis); gamma-ray bursts and their progenitors; modelling of Type I X-ray bursts and superbursts (thermonuclear explosions on the surface
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geochemical modelling is encouraged but not mandatory Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A cover letter (no more than 2 sides A4
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models of road safety beyond the individual risk and protective factors to include community and societal influences. While ecological approaches have been applied in the past, the combination with
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ranked university. Research at Melbourne International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we
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of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us