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postdoctoral position under the introduction of Kathlén Kohn . The position focuses on research in the intersection of algebraic geometry and deep learning or computer vision. The position is financed by Kathlén
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Optimal Transport for Optimization and Machine Learning School of Engineering Sciences at KTH Project description Third-cycle subject: Applied and computational mathematics The project focuses on applying
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KTH, Mathematics Position ID: 421-POSTDOC35 [#28189, PA-2026-0538] Position Title: Position Type: Postdoctoral Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Postdoc in
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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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: Applied and Computational Mathematics The Department of Mathematics at KTH welcomes applications for a full-time position as doctoral student under the supervision of Kristin Kirchner . The doctoral