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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Leiden University
- Leiden University; Published today
- University of Groningen
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Field
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novel combinatorial, algebraic, and probabilistic tools, you will work on resolving fundamental extremal problems in the area of finite geometry. These problems have connections to Ramsey theory, coding
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21 Nov 2025 Job Information Organisation/Company Leiden University Research Field Mathematics » Geometry Mathematics » Number theory Researcher Profile Recognised Researcher (R2) Country Netherlands
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main goals: building and using cohomological field theory (CohFT) structures on logarithmic Gromov-Witten invariants; understanding the geometry of the moduli space of genus 2 curves/abelian surfaces
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experimental probes as neutron and X-ray scattering, as well as solid state NMR and computational approaches including density functional theory calculations. The direct access to these facilities and
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the gap between fascinating theory and real-world applications. Our current research in quantum computing spans several exciting directions, and you will have the opportunity to contribute to all of them
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theory. We furthermore expect you to be fluent in English both in speaking and writing and able to communicate in an academic environment. TU Delft (Delft University of Technology) Delft University
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24 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Physics » Statistical physics Researcher Profile Recognised
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Job description The Postdoc position is in the area of probability theory and statistical mechanics. The project is a NWO funded "open competition project" which deals with the study of
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for model calibration and validation. Develop models - potentially adopting first principles theories, coarse computational description and/or machine learning / artificial intelligence methods – to describe
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engaged to advancing the frontiers of both fundamental physics research and practical device development, bridging the gap between fascinating theory and real-world applications. Our current research in