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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 | 6 days ago
research lab committed to advancing research and education in control, information, decision, and autonomy sciences. Of particular interest are the areas of optimisation and game theory and its applications
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, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical
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Gravitational Wave Discovery and Dark Matter Particle Physics. It also leads in research areas including quantum and frequency metrology, quantum gravity and field, quantum information and computation
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an international reputation for excellence in research, as recognised by the hosting of two ARC Centre Nodes for Gravitational Wave Discovery and Dark Matter Particle Physics. It also leads in research areas
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18 Sep 2025 Job Information Organisation/Company UNIVERSITY OF WESTERN AUSTRALIA Research Field Physics Researcher Profile Established Researcher (R3) Country Australia Application Deadline 16 Oct
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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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: 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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their best work. The School of Chemistry is internationally recognised for its excellence in research and teaching. Our mission is to nurture students to become leaders who will generate societal, economic
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 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