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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the...
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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numbers of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models. Explanations of models are also needed
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Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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condensed matter physics, physical chemistry or biology Possess a strong interest in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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to predict residual strength and estimate fatigue life of composite structures under monotonic and cyclic loading conditions. The modelling and optimisation tools will then be used in developing high strength