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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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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
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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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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 123rd globally and 10th in Australia in QS World University Rankings 2024. To learn more
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: Minimum Bachelor (Honours) or above. Note: PhD qualification is required to teach into Master-level courses. Candidates who hold Bachelor’s Degree but have extensive teaching and/or industry experience
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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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computer software packages with effectiveness, accuracy and attention to detail and an ability to learn new skills. Please Note: Appointment to this position is subject to passing a Working with Children and
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are particularly interested in growing our strengths in areas such as: Algorithmic transparency/fairness Reinforcement learning We also are open to further developing existing capabilities in: Machine learning
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to effective learning. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new