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of diverse clinical scans and the anatomical structure of the heart. The model can be fine-tuned for different clinical tasks without retraining the entire network, enabling an agile workflow for performing
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coordination capabilities essential for operations in complex urban environments. With advancements in 5G mobile networks, Artificial Intelligence (AI)-driven navigation, Internet of Things (IoT) connectivity
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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Anglia) and to present their results to wide-ranging audiences in conferences and meetings. The multidisciplinary nature of this project will contribute to build a broad network and will provide
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months
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training and networking opportunities. Person Specification: We seek an enthusiastic team player with strong interest in the carbon cycle and climate change, self-motivation and numerical skills. Entry