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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators
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experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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(fulltime) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive A Research Living Allowance, at current value of $37,145 AUD per annum for PhD (2026 rate with annual
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will design and validate a cost-effective, synchronised multi-node sensing system for simultaneous time-domain measurements of voltages, currents, electric fields and magnetic fields, supported by
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pipelines to monitoring batteries in electric vehicles, ultrasonic measurements let us “see” inside materials without damaging them. Yet interpreting the resulting signals is far from straightforward: waves
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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Sustainable Power Electronics and Electrification Research Group at the Department of Energy Technology. Cyber-Physical Energy Systems, such as electric vehicle chargers and power grids are increasingly exposed
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development