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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
atmosphere coupled models. The present post-doc position aims to explore the mathematical analysis of a variational formalism [3], recently proposed by A. Debussche and E. Mémin for the incompressible Euler
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Manifold learning, shape space analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and
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Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
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and Mathematical Statistics at Umeå University (Sweden) is offering a postdoctoral scholarship within the project “Bounds for Pancake Sorting and Analysis of the Pancake Graph”. The scholarship is tax
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developing innovative probabilistic methods to tackle fundamental problems at the intersection of spectral geometry, mathematical physics, and number theory. By exploring the geometry and spatial features
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Science research group, develop rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods and algorithms, and collaborate in the preparation of research
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and our
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, including water, CO₂ and nitrate electrolysis, with a particular focus on improving experimental workflows and enabling reliable, high-throughput data generation and analysis. Project PID2025-172289OB-I00
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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experimental tests of the models. The position is based at Indiana University Bloomington, with opportunities to collaborate across IU’s strong communities in mathematical psychology, judgment and decision