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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research
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clinical stakeholders and system engineers. This research does not centre on the hardware design but on the technologies and systems that support its use, including AI, embedded interfaces, and mixed-reality
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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at the School of Electrical and Mechanical Engineering at the University of Adelaide and OptiGrid office at Lot Fourteen. This project will redefine machine-learning based electricity price forecasting by
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have