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of observational data, comparison of multi-wavelength data against model predictions, and/or demonstrated knowledge of multi-messenger science. The successful candidate will also have demonstrated analytical and
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, including mixed effects, survival, growth curve and prediction models, to research in neuropsychology, epidemiology, neurodegenerative disease and cognitive disorders. We are seeking someone with a doctoral
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specifically targeting anomaly detection and predictive modelling to drive real world pharmaceutical outcomes. Working within a collaborative, multidisciplinary environment across Monash and CSL Behring, you'll
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the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets and manuscript
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. Working closely with the Acute Brain Injury leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets
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focus on foundation models, medical image analysis, and multimodal healthcare data integration. In this role, you will: Develop novel federated AI methodologies, foundation model adaptation techniques