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of the AIATSIS Code of Ethics Why Join Us Opportunity to shape lasting impact on Indigenous advancement in one of Australia's leading Universities. Work at a strategic level alongside senior leaders to influence
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to provide child and aged care and companionship. Expected outcomes include an improved understanding of anthropomorphised robots in everyday life and innovation in home helper robot theory and
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
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This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory angle, this project aims to build self-aware neural networks
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
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collaborations with local and international research groups such as the European X-Ray Free-Electron Laser Facility in Germany. Student projects may focus on physics theory, algorithm development, experimental
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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platforms to meet the demands of both research and enterprise workloads. Employing Infrastructure as Code (IaC) tools like Terraform and Ansible for consistent and repeatable deployments. Implementing and
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning