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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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AEMO’s annual General Power System Risk review AEMO must model the power system at a 5 year ahead time horizon. Modelling at this time horizon while accounting accurately for power system dynamics in PSSE
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the instructions detailed on the participating university’s webpage . b) The EOI is assessed by the supervisory team and shortlisted applicants are interviewed. c) The supervisory team nominates a preferred
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We are seeking a talented and motivated graduate in biomedical engineering, mechanical engineering, or biophysics to join our multidisciplinary research team as a Research Scientist/Engineer. This is a
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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of
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developing robust and feasible mathematical models for differential privacy by investigating the data dynamics (IID and Non-IID) of distributed machine learning. Besides, trustworthiness is another major
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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to investigate means of recycling waste heat from sewer systems in the food processing sector. Are you passionate about energy efficiency and developing technology to reduce climate emissions? We are offering a
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also possible, subject to approval by QUT a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies Overseas Student
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade