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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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queries, and automating data transformations. By combining advancements in natural language understanding, algorithm synthesis, and debugging, the proposed framework will enable developers to efficiently
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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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systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure
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and artificial intelligence. Reporting to the Technical Lead of CardiacAI , the role will contribute to the development, validation and evaluation of predictive algorithms, clinical decision-support
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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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. The project will focus on automated distributional shift detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty
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. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.), Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized