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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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new in situ temperature observations Moana sensors deployed on fishing gear (to 0-1000m depth) in conjunction with other extant observations where available (e.g glider, drifter, Argo, satellite remote
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older adults. The expected outcome is the creation of AI algorithms to detect early signs of neurodegenerative disorders in older adults living independently at home. The potential benefit is early
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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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
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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systems on heavy engineering equipment used in the mining industry. Your focus will include: Undertaking installations and maintenance of proprietary hardware and software, sensors and cabling on mining
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Modern sensor data
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input