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a large scale. This research project aims to better understand these cumulative effects in the eastern English Channel and the southern North Sea, where numerous existing, recent and planned wind
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large-scale numerical simulations will generate rich datasets describing the relationship between microstructure, deformation mechanisms, and mechanical response. While physics-based simulations involving
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17 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de chimie de coordination Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1) Application
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16 Apr 2026 Job Information Organisation/Company Nantes Université Department SUBATECH UMR-CNRS 6457 Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
geometric transformer model to predict protein binding interfaces in flexible and disordered regions. Cell Systems, 10.1016/j.cels.2025.101454 The PhD candidate will: Curate and analyze large-scale datasets
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large-scale numerical simulations will generate rich datasets describing the relationship between microstructure, deformation mechanisms, and mechanical response. While physics-based simulations involving
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that has revealed the existence of scaling laws in the spatial organization of cities, particularly concerning the succession of land uses from the city center (highly urban land use) to the periphery
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LArTPC ever designed. The experiment is conducting an ambitious prototyping programme to validate this ever-evolving technology, hosted on CERN's neutrino platform, on a large scale. Two detectors, called
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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Master’s degree in epidemiology, data analysis and biostatistics, AND who already has experience in analysing observational cohort data (multivariate statistical analysis, clustering, large-scale database