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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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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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models. Both domestic and international travel may be required as part of this role for data collection and participation in workshops, conferences and symposia to communicate research findings. To be
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, you’ll have / you’ll have as a minimum: Essential Extensive lab experience in nanobiotechnology or a related field, ideally working with self-assembled proteins/peptides and/or lipids (model cell membranes
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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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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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nanotechnology, molecular biology and bioconjugation would be an added advantage. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research