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cell-cell interactions to disrupt cancer-promoting equilibria. We aim to develop in silico and in vitro models and tools to build and validate digital twins of such interactions, with the objective
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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communication and collaboration skills Nice to have: Background in bioinformatics or biology Experience working with biological or medical data Curiosity and willingness to learn are highly valued. Requirements
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, or related fields will be highly valued. Soft Skills and Research Attributes: Excellent written and oral communication skills in English, strong analytical and problem-solving abilities, and the capacity