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, but are not limited to: • Lithium Supply Chain – Dr Jane Beh • Rare Earths Supply Chain – A/Prof Bogale Tadesse , Prof Katy Evans • Mine Waste Management – A/Prof
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experience in one or more of the following areas: machine learning, reinforcement learning, algorithmic trading, or data-driven modelling. Excellent communication skills: Solid written and verbal communication
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
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be considered for a scholarship please apply to the relevant scholarship round. Supervisor: A/Prof David Boettiger Available to: Domestic and International students Either PhD or MPhil Eligibility
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
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research methods Desirable: interest in pursuing pathways between industry and academic research Application process To express your interest, please submit an EOI form address to Prof Katie Ellis
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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: Prof Alisher Kadyrov (a.kadyrov@curtin.edu.au ). Scholarships Email Alert Sign up now
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about potential research projects, please contact Prof Toby Pavey . For information on how to apply for this scholarship, please contact hdr@qut.edu.au . What happens next? Applicants will be contacted
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution