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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 14 days ago
inversion process for the separated P- and S-wave components, and develop the appropriate strategy for optimal reconstructions. This will directly contribute to the project's overarching goal of improving
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Description This postdoctoral position is part of the CPER RITEMA project (Hauts-de-France Region). It contributes to the scientific axes of “energy efficiency and optimization of consumption in mobility and
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scientific publications. Knowledge of MRI physics would be a plus. Experience with variational methods and/or bi-level optimization. Initial contact with the field of medical imaging. Specific Requirements
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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). Mission The recruited researcher will carry out research for the AgriBioPack project: Valorizing Agri-food Residues for Bio-based Packaging Solutions. Activities • Optimize extraction and separation
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optimization and Al tools to coordinate and optimize the role of ESS within the onboard microgrid. This project finds it context in the urgent need to reduce greenhouse gas émissions and improve the energy
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to optimize their durability and efficiency under industrial conditions. The goal is to contribute to a sustainable energy storage solution while avoiding the use of expensive metals. The postdoctoral
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To design, optimize, and implement experimental protocols in cell biology
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization
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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited