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to studying learners’ engagement with feedback have relied heavily on self-reported data. While informative, self-reported data can be susceptible to bias, poor memory, and incorrect self-assessment
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recognised Adolescent Brain Cognitive Development (ABCD) study. As a Research Fellow (Level A or B), you will process and analyse large-scale neuroimaging data, contribute to high-quality publications and
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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characterisation, to generate data-rich descriptions of evolving materials and processing pathways. A central aim is to couple these experiments with machine learning, mechanistic modelling, and automated data
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such as maintaining accurate records and reporting systems, monitoring of trials and coordinating data management activities. The position will also develop and maintain documentation including standard
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Indo-Pacific region. The MAI is a premier hub for AI and data science research in the Asia-Pacific, focused on advancing AI for real-world impact. It brings together experts from computer science
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Expanding access to digital health The successful candidate will receive training in applied microeconometrics, health economics, environmental economics, discrete choice experiments, administrative data
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the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task to the observer. This Ph.D. project will provide a unified probabilistic and decision-theoretic
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visual and plain language content that accurately translates complex health and research information for non-specialist audiences Coordinating internal and external communications activities, including
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reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced