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emerge. Our theoretical approach combines analytical calculations with computational simulations. The members of the group provide a balanced mixture of postdocs, PhD students, and undergraduate students
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engage in developing innovative methods for interpreting and explaining the inner workings of natural language processing models. The research will broadly align with the objectives of the CopeNLU research
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) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling
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