14 computer-vision-and-machine-learning Fellowship positions at RMIT University in Australia
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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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 the QS World University Rankings 2026. To learn more
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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the School and Research Centres to deliver high-quality research aligned with the University’s strategic priorities. The role involves undertaking research and development in learning, control and optimisation
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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support systems. To be successful for this position, you’ll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new
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postgraduate research students. Ability to contribute to the teaching and learning program in a relevant field. Qualifications: Mandatory: PhD in Ecotoxicology or Environmental Science or in a relevant field
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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of approximately $280 million, employs over 1000 staff and delivers programs to approximately 30,000 students (20,000 EFTSL). In line with RMIT’s vision to be recognised as a global university of technology, design
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. As your experience grows, you’ll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research