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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
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this project, the student will develop scalable artificial intelligence based methods such as deep neural networks or transformers to perform decoding in microsecond time scales while processing error
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locations, experiences and private and professional means of support within Australian universities. Applicant are encouraged to develop their own research project in relation to the following key questions
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PhD Scholarship This project develops a novel framework for Hierarchical Imitation Learning (HIL) combined with Reinforcement Learning (RL) to enable robots to perform long-horizon, multi-step tasks
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analyse security vulnerabilities of shared quantum computers and develop software level solutions to ensure secure and reliable sharing of quantum compute resources. The Scalable Quantum Systems Lab
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Professor Muhammad Usman at the Faculty of Information Technology. The PhD project involves developing novel quantum artificial intelligence models which are intrinsically robust against adversarial attacks
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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Leading Researcher (R4) Application Deadline 22 Nov 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Profile Leading Researcher (R4) Application Deadline 22 Nov 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme
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that can influence this efficiency. This project aligns with the priority of sustainable development and the University of Newcastle’s strategic plan to further support next generation resources and growing