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experience in the rapidly evolving field of Human-Computer Interaction. You will lead the development of innovative courses, project-based learning initiatives, and real-world learning experiences that engage
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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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. Fabricate the selected microfluidic designs in RMIT’s cleanroom facilities. Test the functional performance of these designs using micro particle image velocimetry (μPIV). Integration of Machine Learning
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achieves shared goals and objectives. An in-depth knowledge of Supply Chain Analytics, including mathematical modelling, optimisation, and/or machine learning, and/or decision sciences. Advanced expertise in
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that combine fairness, privacy and legal guarantees for ADM systems, such as recommender and machine learning based systems. It takes a multi-disciplinary approach and although focused on the mobilities and
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 140th globally and 11th in Australia in QS World University Rankings 2024. To learn more
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Community. You will, contribute to the activities of Reading List Services and the Alternative Formatting team focused on providing services and support to the learning and teaching activities of RMIT
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degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information. The project focuses on developing multilingual datasets and advanced methods to detect and
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI
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work experience placement and/or a paid or unpaid Work Integrated Learning (WIL) opportunity in your penultimate year participation in a mentoring program at CitiPower, Powercor and United Energy. Note