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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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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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, and deliver shared objectives. Experienced in managing significant budgets and intellectual property, with a strong focus on planning, resource allocation, and prioritisation to meet deadlines and
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management decisions and mitigate risk. The successful candidate will develop the research objectives in collaboration with an experienced supervisory panel, comprised of researchers at the University
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tracking blood glucose responses to meals and lifestyle factors, the project will identify individual patterns and predictors of glucose variability. Using this detailed data, tailored dietary
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mission is to accelerate the commercialisation of research for the Australian Defence Force (ADF), develop education training pathways, fast-track entrepreneurs' ideas to commercialisation, and enhance
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these across governance, strategy, and program design. Strong connections with Aboriginal Community-Controlled Organisations and communities, with a demonstrated track record of building trusted, authentic, and
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, philanthropy, academia, and with people with lived experience. You know how to navigate complexity, balance diverse perspectives, and guide co-design and place-based innovation. A track record of driving