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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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Overview: Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD experience 17% Superannuation and Flexible Working Arrangements Based
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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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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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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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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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discipline within RMIT’s School of Science. This is an exciting opportunity to contribute to cutting-edge research in quantum science and mathematics, specifically within the QuRMIT Theory Lab and the ARC
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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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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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. 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