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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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known human reasoning difficulties and fallacies. It will also investigate how to reduce human cognitive load by prioritising the most useful information for the user. Expected outcomes include novel AI
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that explore biological and behavioural factors influencing the onset, course, and response to treatment in young people with emerging mental disorders. Extensive collaborations with clinicians, data scientists
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The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites. Information describing the number
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? Recipients will be notified at the end of the year. Status: Open for applications The information listed here is subject to change without notice. Where we have listed information about jointly run
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programs and financial assistance administered by the University, providing accurate advice and statistical information to relevant stakeholders as required. Develop, implement and ongoing review
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if needed. What you’ll be doing Steward a shared measurement, evaluation and learning system Co-design meaningful indicators and frameworks Enable partner-owned data and learning Embed lived experience and
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initiatives, and represent UQ in key internal and external forums, with significant scope to shape and grow the portfolio. For further information, please click here to view the information booklet. About UQ
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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fibre‑based Frequency Distribution (FRQ) system, including configuration baselines, change control, and ALIM configuration data in line with the SKAO Configuration Management Plan. Serve as a standing