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reinforcement learning. In International conference on machine learning (pp. 2107-2128). PMLR. - Péron, M., Becker, K., Bartlett, P., & Chades, I. (2017, February). Fast-tracking stationary MOMDPs for adaptive
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Strait Islander. The selection committee will evaluate applicants holistically and prioritise First Nations applicants with research and/or professional experience and a strong academic track record in a
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. This will be achieved through frequency domain and time domain state and parameter estimation techniques to infer model states and parameters in real time to simultaneously track the anaesthetic brain states
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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will contribute to the objectives of the Australian Research Council-funded DECRA project Recordkeeping for Empowerment of Marginalised Communities led by Dr Viviane Hessami, which aims to enable more
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
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data, such as temporal dependencies and lack of rich semantic make it challenging to leverage these models directly for time series tasks. Building upon our exisiting research [1], our objective is to
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I am interested in all aspects of theoretical astrophysics, with a particular focus on strong gravitational fields, compact objects, and gravitational-wave astronomy. I am currently exploring
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of analytical data to guide the generation of highly accurate 3D/2D molecular graphs or SMILES representations. Research Aims and Objectives This project aims to develop a robust, data-efficient deep learning
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functions. The Business Development Manager will maintain and strengthen the Faculty’s client base, develop systems to track and secure opportunities, foster effective working relationships across