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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network
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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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PhD Scholarship for The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions Job No.: 679372 Location: Caulfield campus Employment Type: Full-time Duration
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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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Currently recruiting students via universities around Australia Receive actual industry exposure and partner placements to develop your skills and network Encouraging students from all academic backgrounds
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Australia to present their work, participate in training opportunities, and to network with their peers and more senior astronomers from around Australia. Student type Future Students Faculties and centres
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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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-resistance programs and interventions. Despite the well-defined benefits of pharmacists working in hospital-based AMS programs, to date, there has been limited expansion of AMS into RACHs. In this setting
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distribution and transmission network in Australia present a potential solution. This network includes 42,000 km of high-pressure low-carbon steel pipelines for transmission and 97,000 km of low-pressure