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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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. The doctoral project will focus on three main research axes: 1. Evaluate and improve ice sheet models: propose original analyses to test model robustness, for example by studying the spread of results from
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the modification profiles of host tRNAs and rRNAs. To test this hypothesis, rRNA and tRNA will be purified from infected cells and analyzed by dRNA-seq to track changes in expression and modification profiles
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the influence of design and operational parameters, and propose optimized configurations to maximize energy conversion efficiency; - Participation in the design and assembly of the experimental test bench using
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testing, materials analysis by electron microscopy, and more. Rheology and hydration of silico-magnesia cements I. INTRODUCTION I.1 Context. Portland cement, the primary component used as a binder in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
knowledge of software development and related tools (version control, compilation, documentation, testing, debugging…); Taste for technological innovation Fluency in English technical Good writing skills
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, to understand particle formation and defect incorporation mechanisms. 2. Optimize the optical properties of G4V-NDs via original post-synthesis treatments, with in situ testing at the SOLEIL synchrotron
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convergence in the targeted generation. Other graph generative models from fields other than processes (e.g., molecular design) can be tested, provided that a simulator capable of calculating aptitudes is
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industrial process control remains under-explored; the current approach relies on statistical tests or conventional machine learning. One of the manufacturing processes addressed in this thesis is injection