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Do you have outstanding skills in advanced mathematics? Are you interested in quantum physics, general relativity and fundamental physics? If so, you may be right for this project. RMIT Physics, in
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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(for example, Continental philosophy, political philosophy, cultural theory, posthumanism, biopolitics, science and technology studies, animal studies, and/or the environmental humanities) Essential: Capacity
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about future states of species populations and ecological communities. The project will explore the application of dynamical point process models from probability theory to ecology so as to determine
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Geometric flows describe geometries changing through heat flow and diffusion. They arise naturally in many fields, from phase change and tumbling stones to string theory, and provide new tools
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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mechanisms of online media platforms by granting users full control over their sensitive information. Innovation. To meet users' varying privacy demands, this project put forward a graph-based user
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open-source tools and training modules for global utility adoption. The framework combines physics-informed graph-neural-networks (GNNs), diffusion model, and explainable reinforcement learning (XRL
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These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode...
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches