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, uncertainty quantification, and computational efficient inference. The successful candidate will contribute to both theoretical and methodological advances, with applications to real-world problems involving
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, classification, and clinical decision support will be developed, with particular emphasis on Explainable AI, Trustworthy AI, robustness, fairness, and uncertainty quantification. The proposed solutions
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