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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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, academic progress and completions. You will oversee the provision of timely and accurate information, advice and service to students and other clients of the STEM College, and have the opportunity to learn
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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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. 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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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 transportation focus area
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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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@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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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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below. Relevant Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive
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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