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using variable structure systems; preparing competitive research grant applications, particularly targeting Category 1 outcomes; and publishing in leading journals and conferences. The Research Fellow
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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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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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of survey and/or experimental data (e.g., structural equation modelling, discrete choice modelling, hybrid choice modelling). Strong track record and recognition for quality research outputs which will
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soils and food products, including the traditional food chain. You’ll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local
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part of a partnership between RMIT and the Defence Science and Technology Group (DSTG), through the Centre for Advanced Defence Structures and Materials Experimentation (CADSME). If you’re passionate
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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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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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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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, career leave, volunteer leave and public holidays (Christmas and Tet Holidays) Professional development and career advancement Access to state-of-the-art facilities and resources A vibrant and diverse