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foundations, focusing on the structure and complexity of quantum computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex
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at international conferences; Make the algorithms of easy and practical use for any user (algorithms will be shared through an open platform). Profile The candidate should have a PhD diploma in Computer
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements
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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention
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Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI (PA2026/1165)
) geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) medical image analysis, and (iii) machine learning and artificial intelligence. The group has extensive
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) – String Theory, Topological Computation, Topological Materials, Quantum Geometry Prof. Moon Jip Park (Hanyang University) – Condensed Matter Physics, Topology, Non-Hermitian Systems, Statistical Physics
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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Mike Hochman Dynamical systems, ergodic theory and fractal geometry Gil Kalai Combinatorics Itay Kaplan Logic, model theory David Kazhdan Representation theory Ori Gurel-Gurevich Probability
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blockchain and quantum algorithm team from the groups Data-centered and Secure Computing (DSComputing) , and Geometry and Analysis , connected to international communities in IEEE Blockchain, and the network
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to Fisher-Rao geometry and develop theoretical results characterising MML estimation under various regularity conditions. Aim 2: Development of Computational Methods for MML Design and implement efficient