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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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paid by a foreign agency grant. The postdoc will involve working with the group at Guanajuato city at CIMAT and the group at UNAM in Mexico city; if little experience is held on BUQ, a learning phase
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at conferences and outreach events. Essential qualifications: A PhD (or equivalent) in a quantitative discipline (physics, mathematics, quantitative biology or similar) completed by November 2025 Proficiency in
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ideas, leading group-meeting presentations, driving scientific discussions, and representing the team at conferences and outreach events. Essential qualitications: PhD (or equivalent) in Life Sciences