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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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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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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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of national significance. You will learn first-hand about the current state of drone-based surveillance, tracking and distributed decision making and will have a meaningful impact on the future direction of
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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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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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project success; Demonstrated ability to contribute to the delivery of projects and operational objectives, working effectively both independently and as part of a high-functioning team to achieve planned
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to analyse and interpret complex field trials, including using statistical approaches Knowledge of Australian dryland farming systems and associated research trends and gaps A track-record of publishing
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and