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to develop an accessible, meaningful, and inclusive participatory method to engage adolescents in the evaluation of co-designed interventions, building on the Ripple Effects Mapping and Realist
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, and develop methods to optimize cross-modal representations for enhanced predictive modeling. As a postdoctoral researcher, you will: Design and implement novel multimodal AI architectures
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learning (ML) methods in healthcare settings. You will investigate how causal inference techniques can be leveraged to enhance the monitoring of deployed medical AI applications. This exploration will
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operation by nonspecialized personnel, and to allow automated interpretation. As a PhD student you will develop novel deep learning methods for identification of fetal growth abnormality from ultrasound