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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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impacts of exposure to heat in primary school-age children in Accra, Ghana and leverages extensive existing research infrastructure, data, and partnerships. It is designed around three core objectives: To
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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