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Technology (SET) This position plays a vital role in developing advanced theoretical tools and models for superconducting quantum materials research, contributing to leading-edge defence-related technologies
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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to field test emerging AI agent-based technology and push forward projects of national significance. You will learn first-hand about the current state of drone-based surveillance, tracking and distributed
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago
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allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
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responsible for the delivery of high-calibre farming systems research, based on a network of already established field trials to evaluate how crop rotation/sequence, time of sowing and nitrogen management
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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an employer contribution of 17% superannuation applies. Four Full Time Positions Available | 24 Months Fixed Term | Expected to commence February 2026. Be part of a world class, outcome-based research centre
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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term, appointment to commence as soon as possible. The specific topic area of this post is relating to the development of optical coherence tomography (OCT) and fibre-based optical imaging technologies