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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 9 days ago
colorings. Preprint, 2026. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10476 Requirements Skills/Qualifications The student must have a background in mathematics or
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graph theory. Computational methods are central; the team operates a 500‑core cluster. We both compete with and leverage AI; see: https://www.aalto.fi/en/news/researcher-cracks-new-kissing-number-bounds
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bridging important theoretical developments in probability theory and existing research areas in the Department, such as analysis, applied mathematics, graph theory, number theory, or data science; and
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 16 days ago
. Availability to undertake international research stays and to follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and
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have a master's degree in Computer Science, Artificial Intelligence, Mathematics or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, Database Theory, Edge
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applied mathematics, theoretical computer science, probability and statistics, and mathematics education. See https://mscs.uic.edu/ for more information. Applications are invited for one Tenure Track
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made. At least three of: (stochastic) partial differential equations ((S)PDEs) graph theory/network science stochastic optimization and control applied mathematics AI/data science/statistics
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Mathjobs.org | 24 days ago
The Department of Combinatorics and Optimization (https://math.uwaterloo.ca/co) in the Faculty of Mathematics at the University of Waterloo invites applications for one tenure-track faculty position
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The Department of Combinatorics and Optimization (https://math.uwaterloo.ca/co) in the Faculty of Mathematics at the University of Waterloo invites applications for one tenure-track faculty position
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mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems neuroscience, pain