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within a ‘Group of Eight’ University! The State Government of South Australia, CSIRO and the University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing
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Australian National University | Canberra, Australian Capital Territory | Australia | about 16 hours ago
candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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comfortable with a range of computer programs and childcare-specific software. You are committed to ongoing professional learning and demonstrate integrity, reliability, and a strong sense of responsibility in
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Australian National University | Canberra, Australian Capital Territory | Australia | about 16 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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decision making in contested and dynamic environments, involving extensively applied work at the intersection of data fusion, decision making and machine learning, with real-world testing and feedback
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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CNC machines is advantageous) experience in or willingness to learn to use CAD and CAM software (SolidWorks and Mastercam or similar) proven ability in CAD/CAM programming, with experience
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of recruiting talent aligned to these values. We are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI
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modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity