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on the intersection between diffeomorphic models of shapes, related geometric theory, and statistics and machine learning, e.g. generative models. Examples of specific topics in this span include Bayesian models
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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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that require a deep understanding of language, as opposed to shallow processing. We are interested in core methodology research on, among others, learning with limited training data, interpretable and
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undergraduate students. We offer creative and stimulating working conditions in a dynamic and international research environment. Principal supervisor is Professor Mogens Høgh Jensen at the Niels Bohr Institute
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radiological technique for age estimation and identification. 2) Investigations into the oral health status of asylum seekers whose ages have been estimated at our department. This analysis includes