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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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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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AI/ML for Object Tracking and Sensor Fusion, you will develop next-generation algorithms that power intelligent aerial systems—enabling real-time object tracking, multi-sensor data fusion, and
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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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accountability and ownership, while aligning outputs to brand and marketing objectives to ensure strong foundations for performance. You’ll work in cooperation with agencies and marketing leaders to interpret
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opportunities which support their research, learning and teaching needs while providing specialist advice that contributes to the advancement of the Library’s strategic objectives. The role has both a strategic
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learn approaches and continuous improvement. Demonstrated experience in performing top of funnel objectives. Demonstrated ability to promote the organisational values of integrity, respect, collegiality
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working in a research-intensive environment managing research activities and higher degree by research students. Proven ability to work autonomously with minimal guidance, effectively driving key objectives
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publication track record in relevant areas of high-energy astrophysics in leading academic journals. A strong interest in and commitment to the delivery of quality undergraduate education. Experience in and/or
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Children’s Health Networkwill broadly include: Clinical Delivery Responsible for the provision of an effective and efficient medical service within the objectives and the philosophies of the Hospital Provision