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, resource extraction, circular economy and recycling All positions are full-time, continuing (tenure-track), teaching and research roles based in Sydney. Successful applicants will join a group of
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nodes and chemical bonds as edges. Analysis these networks are important as they may provide AI-based approaches for drug discovery. This project will focus on representing and inferring chemical or
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been directly observed in planet forming discs around young stars (protoplanetary discs) and is inferred to be occurring around black hole discs. My research projects use a combination of 3D and 1D
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contribute to groundbreaking projects in OP-MEG and Bayesian computations. This role offers you the chance to collaborate with leading researchers, mentor students, and shape the future of cognitive
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological
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guarantee that what one believes to be one’s secrets will remain secret. Namely, a DP algorithm cannot ensure that private attributes cannot be inferred from publicly observable attributes if they have strong
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postgraduate qualification in one of these fields plus relevant research experience. Demonstrated track record in epidemiological research with outcomes of high quality and high impact with clear evidence of
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of about 15 researchers who are being assembled to work together on tracking and predicting the future of the East Antarctic Ice Sheet. The successful candidate will bring their expertise in environmental