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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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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 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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initiatives across the STEM college, and fostering a multidisciplinary approach to partnerships. Additionally, they assist in organizing Work-Integrated Learning (WIL) events for partners, create marketing
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campuses of the University About You The Learning and Teaching Coordinator maintains and develops administrative systems, processes and practices with a view to continually improving the provision of support
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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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, 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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to detail and commitment to quality assurance. Proven proficiency in computer software packages with effectiveness, accuracy and attention to detail and an ability to learn new skills. Please Note
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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