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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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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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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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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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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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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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for designing, implementing, and testing cross-communication layer cybersecurity methods for critical surveillance, as well as mentoring higher-degree research candidates. While a PhD degree is not required
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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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higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Mandatory: PhD in a relevant field such as (but not limited
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. Mandatory Qualifications For the Level A Industry Research Assistant: Qualification in the relevant discipline area preferably at postgraduate level For the Level B Industry Research Fellow: PhD or equivalent