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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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standards. High-level proficiency in a range of computer software applications, with a focus on accuracy, efficiency, and the ability to quickly learn new systems and tools. Why Join Us? Be part of a dynamic
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. 6. Sound analytical and problem-solving skills 7.Demonstrated high-level computer skills using Microsoft Office suite 8.A proactive attitude towards problem solving with an ardent sense of endeavour
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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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one-on-one coaching sessions as well as workshops. To be successful in this position, you’ll have / you’ll have as a minimum: Expert knowledge of a range of Adobe tools with a capacity to quickly learn
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achievement of RMIT University’s teaching, learning and research strategic goals. It engages with other groups within the University to design initiatives that have a positive impact on the student experience
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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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computer literacy across a wide range of programs and applications Enjoys learning and problem solving About us. RMIT Europe, is a creative and dynamic hub of RMIT university based in the heart of Barcelona
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to meet goals and objectives, including planning, resource allocation, communication, negotiation, stakeholder management, conducting post-project evaluations and reporting. High level of computer literacy
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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