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anthropogenic approaches and cutting-edge biological modelling to understand exactly how IIDs spread in nurseries. The project aims to develop improved intervention guidelines to prevent high mortality IIDs
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limited by radiation-induced liver fibrosis (RILF). Using a mouse model of HCC on fatty liver, the project will investigate how radiotherapy impacts tumour growth and liver fibrosis and test antifibrotic
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) with reinforcement learning. • Developing adaptive tuning and continual learning strategies for robust statistical models. The project’s scope will be tailored to the candidate’s expertise, offering
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