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The successful candidate will join the newly established Computational Pathology Group led by Dr Francesco Ciompi. For scientific enquiries, please contact [email protected] TASKS AND RESPONSIBILITIES Work
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on multimodal pre-training and finetuning methods, and applications on the specific use case of Document Understanding. KEY DUTIES Lead and contribute to specific Work Packages (WPs) within the project, ensuring
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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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