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. An emerging research profile in the transformer condition monitoring discipline area including modelling, sensing, signal processing, and data analysing for transformer condition assessment. Evidence
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implementing innovative initiatives within structured frameworks. Experience in mapping, analysing, and modelling current and future state business processes to assess impacts and improve efficiency. Excellent
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the design, modelling, layout, and verification of silicon/silicon nitride photonic devices to contribute to Process Design Kit (PDK) development, working closely with the Lead Process Engineer. Manage and
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variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
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, actionable insights for senior stakeholders. Demonstrated experience leading people analytics initiatives, including the development of dashboards and reporting tools. Advanced proficiency in data modelling
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to optimise research outcomes. Advanced Data Cleaning and Analysis: Clean,engineer, prototype, and deploy statistical and machine learning models using Python and/or R to solve complex problems; maintain and
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human
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engagement models. The successful candidate will be required to complete a number of pre-employment checks, including right to work in Australia and education check. Relocating from interstate or overseas? We
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ