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St Lucia location About This Opportunity We are looking for an exceptional Postdoctoral Research Fellow to join the Precision Atomic Theory Group at The University of Queensland. This full-time, fixed
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Control” (DP250101137). The Postdoctoral Research Fellow is expected to undertake research on control theory and machine learning techniques for project DP250101137. The Postdoctoral Research Fellow will
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
collaborative and forward-thinking research team working across decision and control theory. Responsibilities will include contributing to student mentorship at undergraduate and master's levels and co
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optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory
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, spintronics and magnetisation dynamics, terahertz and optical technology, as well as bio and medical physics. About the opportunity Develop fundamental theories, design and deliver a focused research program
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physics. About the opportunity Develop fundamental theories, design and deliver a focused research program, publish high-impact manuscripts, and present findings at conferences. Work with your UWA mentor
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, as well as bio and medical physics. About the opportunity Develop fundamental theories, design and deliver a focused research program, publish high-impact manuscripts, and present findings
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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essential, mathematical theory frequently suggests its value is low. This misalignment creates a gap between modelling and practice. The research will focus on developing new theory to explain why
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine