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, physiology, biomedical engineering or a closely related discipline (or a submitted PhD thesis currently under examination), Demonstrated technical expertise in at least two of the following: systems
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expertise in systems biology approaches to obesity and metabolism, contributing to the University’s reputation as a global leader in the field Base Salary, Academic Level A $105,314 - $116,679 p.a + 17
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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project is an international collaboration involving a wide network of Australian and international researchers investigating fossil reef systems from across the Indo-Pacific, including the recently drilled
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, and AI-driven wireless networking. You will also support the translation of research outcomes into practical systems and solutions in collaboration with our industry partners. The roles sit within
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aligned to these values and are looking for a Postdoc Research Associate – Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong
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at the Charles Perkins Centre, as well as a national multidisciplinary network of researchers, clinicians, and stakeholders, you will contribute to research that aims to transform early detection, care pathways
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. demonstrated research capability in one or more of the following areas: quantitative modelling of dynamic or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation
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decision-making processes evolve, stabilise, or degrade in complex socio-technical systems. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely