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Postdocs in Generative Machine 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
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Teach and supervise at undergraduate, master’s, and PhD levels Collaborate with academic and industrial partners Disseminate results in top-tier conferences and journals Requirements PhD in
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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advantage, but not strictly necessary Soft skills: curiosity and active learning critical thinking and problem-solving time management adaptability and flexibility effective communication in cross-cultural
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willingness to learn and develop; Teamwork approach, good communication and relational skills; Strong orientation to results, determination, flexibility and aptitude for problem-solving. Furthermore