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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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at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
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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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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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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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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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Engineering Please click the link below to learn more about RMIT’s commitment to improving female representation in STEMM – www.rmit.edu.au/womeninstemm To Apply Please submit your CV, covering letter and
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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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to shape the future of STEM and make a difference through collaboration, discovery, and applied knowledge. Learn more about us: https://www.rmit.edu.au/about/schools-colleges/stem-college Defence Science and
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condition of employment at RMIT. If you’re viewing this ad from an external site, click Apply to be redirected to RMIT’s careers page, where you can download the Position Description. (Note: Links may not