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Australian National University | Canberra, Australian Capital Territory | Australia | about 10 hours ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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. For further information please contact, Prof. Danielle Way, E: Danielle.Way@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on
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hypergraph models of data, data complexity, structural properties of graph and hypergraph classes, algorithmic consequences, and applications. As such, the successful candidate must either have a good
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project with real clinical potential The Opportunity Are you a highly motivated and technically proficient researcher with expertise in electrochemical sensor development and biomedical engineering? We
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- Location: Wallumattagal Campus, North Ryde About the Role This position is part of the John Templeton Foundation’s project Cognition All the Way Up. The appointee will work with Dr Bourrat (Philosophy), Prof
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or condensed matter physics, with a willingness to engage in experimental applications. The successful applicant will also be involved in the design, fabrication and measurement of quantum sensors in the Jesper
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research