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Numerical Methods for Functional Calculus Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/12 04:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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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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build a theoretical and computational foundation for new methods in statistical inference and generative modeling, based on principled optimal transport and gradient flow theory. We are looking for a
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areas may also be considered; inquiries may be directed to David Rydh the head of the Ph.D. program. Commutative algebra (1 position, advisor: Mats Boij ) Differential Geometry, Geometric Analysis and