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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in QS World University Rankings 2026. To learn more
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in QS World University Rankings 2026. To learn more
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Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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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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and problem-solving skills and the demonstrated ability to implement innovative and creative solutions. Demonstrated high-level computer skills using Word, Excel, databases, Internet and email with
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and verbal communication across multiple mediums (i.e. telephone, ticketing tools, web chat etc). Demonstrated ability in the use of a range of computer applications and the ability to quickly learn new
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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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initiative and problem-solving skills, ability to resolve complex issues, and take action without specific direction where appropriate. Demonstrated high level of computer literacy – MS-Office software
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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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, 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