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, image reconstruction, and data-driven modeling of biological systems. The Division carries out research and postgraduate education within computational imaging, applied mathematics, and structural biology
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
Searches related to mathematical modeling
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