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expensive) drugs. DESCRIPTION: This project proposes the development of an AI-driven computational pathology framework to discover biomarkers from large-scale datasets of cancer patients with clinical
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with the supervisor, with potential avenues including generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M
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