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for a two-year postdoctoral position in random matrix theory and high-dimensional statistics, in close collaboration with Assoc. Prof. Johannes Heiny. The research project aims at understanding phase
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methods for such problems. The doctoral student position involves graduate studies with the goal of a doctoral degree (for more details, see the information about the doctoral program in Applied and
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optimization. Documented proficiency in mathematical reasoning and programming (e.g. Python) relevant for computational mathematics and machine learning is required. Experience in one or more of the following
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