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computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex/facet–based techniques) to formulate and solve core computational
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experience, with expertise in at least one of the areas: graph polynomials and partition functions, computational counting algorithms and complexity, combinatorics, models in statistical physics. About the
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experiments and quantum algorithms for computational geometry problems. Prior expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent
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Hochman Dynamical systems, ergodic theory and fractal geometry Gil Kalai Combinatorics Itay Kaplan Logic, model theory David Kazhdan Representation theory Ori Gurel-Gurevich Probability, random
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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12 Dec 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science Mathematics » Algebra Mathematics » Algorithms Mathematics » Discrete mathematics
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- 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University