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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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this innovative techno-stylistic approach. The project expects to reveal the mechanisms of diffusion of these images within their cultural territories. New tools for the study of prehistoric art will be developed
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD topic is part of the Interreg MultiDiv project
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performance for this type of task. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5033-ALEVAL-003/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
seeks to strengthen the bases for the design, use, and deployment of digital twins, addressing key open challenges in model hybridization, composability, development methodologies, digital coupling, and
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. The developments will also aim to extend existing approaches, which are often restricted to integrated quantities, to the reconstruction of complete statistical fields. The ultimate goal is to design a goal-oriented
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
file system CRDT with merging semantics that satisfy user intentions - Implement the proposed CRDT over a peer-to-peer infrastructure such as Matrix or IPFS - Design user studies for testing the proposed
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is