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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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Vakhitova, and Associate Professor Matteo Vergani. The project will establish Australia’s first national longitudinal cohort study of the drivers and consequences of Islamophobia. It will examine
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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Australian (or equivalent international) Honour’s or Master’s degree (both in a relevant field), with a significant research component and with first-class honours/H1 awarded. Details of eligibility
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testing and assessment of device-assisted aerosol delivery under clinically relevant operating conditions. Data processing, image analysis, uncertainty assessment and experimental interpretation using
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or Master’s degree (in a cognate field aligned with proposed research topic) with evidence of a significant research component, and with first-class Honours/H1 (equivalence) awarded. Details of eligibility
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Biocatalysts for Chemoenzymatic Synthesis of Complex Small Molecules (Faculty of Medicine, Nursing, and Health Sciences) Successful candidates will be working alongside leading academics and industry partners
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applicants who hold an Australian (or equivalent international) Honours or Master’s degree (both in a relevant field), with a significant research component and with first-class honours/H1 awarded. Details
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chemistry Electrochemical testing and analysis Materials characterisation techniques Strong scientific writing and communication skills Candidate Requirements Applicants will be considered provided
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average grade of an Honours degree equivalent to the First Class Honours Division A; OR A master's degree in a relevant discipline which includes a research thesis or project equivalent to at least 25