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Level A) Based at our vibrant and picturesque St Lucia Campus About This Opportunity Join a growing, collaborative research team developing innovative quantum algorithms for decarbonisation applications
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can
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they are doing, how they are responding to the robot, whether they intend to interact, and how these behaviours are likely to change over time. This PhD project will explore human-centred multimodal world models
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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PhD Scholarships: Shaping AI’s Future Job No: 697891 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
to their field of expertise, contribute to the supervision of Honours and PhD students, work collegially with members of the ANU community, undertake suitable service tasks, and engage in impact and engagement
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
to their field of expertise, contribute to the supervision of Honours and PhD students, work collegially with members of the ANU community, undertake suitable service tasks, and engage in impact and engagement
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PhD Scholarship - Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure Job No.: 696617 Location: Clayton campus Employment Type: Full-time
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum