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benefiting from both academic and industrial research environments. The work will be done in collaboration with Nathalie Bertrand and Ocan Sankur (Inria DEVINE team https://devine.inria.fr/ ) and Benoît Boyer
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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. The objective aims to increase the overall optical path of incoming solar illumination to increase the hydrogen production performance of stable and abundant element-based materials. In this multidisciplinary
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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rechargeable batteries. In this context, one of the challenges involves optimizing the electrolyte, which determines the stability of the metallic anode, the electrochemical window, and interfacial processes
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Research Framework Programme? Horizon Europe Reference Number 2026-R0011 Is the Job related to staff position within a Research Infrastructure? No Offer Description - work environment: The position is hosted
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 17 days ago
(INS2I institute), and the University of Rennes I. The Empenn group operates the Neurinfo imaging facility in the context of a partnership with the University Hospital of Rennes, Inria, the CNRS, and the
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study the structure and dynamics of proteins. The main objective is to design and implement nanodevices to study biological molecules and analyze light in the THz range. This work focuses on improving
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-doctoral fellow will work within the framework of the project with the aim of both (1) performing Monte Carlo simulations (with established codes such as GEANT4, MCNP, FLUKA, or others) in order to project