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Consolidator Grant ICE-EEVOLVE. This ambitious project aims to investigate the origins and evolution of chiral organic molecules in astrophysical environments—from cold interstellar ices to the early stages
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and evolutionary constraint. A significant part of the work will focus on setting up and managing an innovative 'microbiome' platform. The researcher will be specifically responsible for developing
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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the hydrogeology of volcanic and basement aquifers. - main mission: The recruited researcher will contribute to the development and implementation of numerical flow and transport models to improve the understanding
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
environmental technology. New experimental technologies have been developed to monitor growth and gene expression at the single-cell level, opening the path to the exploration of the origins of variability in
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Postdoctoral Researcher to join our team for a 18 months position based at Femto-ST in Besançon. This role offers a unique opportunity to contribute to pioneering research and development in integrated photonics
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Inria, the French national research institute for the digital sciences | Lyon, Rhone Alpes | France | 17 days ago
mathematical components accessible to users that are not specialized in formal proofs (e.g. undergraduate students, math/CS teachers or other peers) via the development of convenient interfaces, needing
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(MPD) thruster developed as part of MP2S. The second phase will involve using high-frequency laser spectroscopy to measure the speed of ions in the plasma plume of the MPD thruster during a pulse. The
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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, we propose to design pre-trained language models for French with two objectives: To train models for specialised domains (engineering, law, medicine, spontaneous speech transcription) Train models