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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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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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, social services, or mobility and transport ADM systems and machines - including search engines, intelligent assistants, and recommender systems - are designed, evaluated, and optimised by defining
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treading that will enable efficient and reliable renewal of tyre in short time by machine learning driven printing method. This will be accomplished by developing novel 2D material based elastomer
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-class or H1 honours degree in Computer Science, Engineering or equivalent in a related discipline. Applicants must satisfy RMIT University’s PhD entry requirements. Applicants must have a first-class or
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL