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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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from multi-omics datasets (epigenomics, transcription, sequence). • Using representation learning (tensor factorization framework e.g., AVOCADO) extend the predictive framework allowing imputation in
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher in arithmetic geometry and/or algebraic K-theory
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of special functions, and appear naturally in physics, but also, for example, in combinatorics (finite differential generating series) or in algebraic geometry (Picard‑Fuchs equations). A particularly