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information. The opportunity The SKA-Low project is part of the SKA Observatory’s global effort to build the world’s largest and most advanced radio telescope. In Australia, SKA-Low is being developed
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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cryptography, quantum algorithms and cryptography, foundational theory and mathematics, and the design and analysis of cryptographic primitives and protocols, contributing to high-impact research outcomes and
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PhD Scholarship This project aims to develop a novel computational framework for design of stretchable mechanical structures with tailored, exceptional performance. Project outline: This project
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cryptography, quantum algorithms and cryptography, and the design and analysis of cryptographic primitives and protocols, while playing a key role in advancing the School’s research profile, industry engagement
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School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a