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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
scalable computational algorithms and translate the proposed methodology into practical applications. We are seeking applications from candidates with either a track record or proven potential in research in
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arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised
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, spatial and temporal image data trustworthy AI for sensitive and distributed data, including privacy-preserving and federated learning, uncertainty quantification, and efficient real-time inference in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
interface to humans with varying expertise in real-world responsible AI scenarios. The successful candidate will design and develop new AI algorithms and systems, engage with a dynamic research group within
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, and multimodal deep learning approaches that enable privacy-preserving learning across distributed healthcare data sources Support health outcomes with research in transformative applications in
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Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid
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to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. The Rural Health Research
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as a distributed yet connected community, welcoming and engaging with people across Australia and the world. The Rural Health Research Institute (RHRI) has been established to conduct research
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integrating passive radio frequency and optical data for space object characterisation. Looking forward, the programme is building towards a next-generation distributed observatory that fuses optical, radio
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integrating passive radio frequency and optical data for space object characterisation. Looking forward, the programme is building towards a next-generation distributed observatory that fuses optical, radio