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the Electrode/Electrolyte Interfaces via Operando Piezoelectric SENSing) project, which aims to develop a new-generation analytical tool for studying electrode-electrolyte interfaces in rechargeable batteries
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, neutron). The role of anion rotation appears as a key feature to develop materials with record-high ionic conductivity to be used in next generation batteries. This project will investigate the relationship
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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European ENERGETIC project, dedicated to developing the next generation of Battery Management Systems (BMS) to optimize the use of Li-ion batteries in both first life (mobility) and second life (stationary
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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, worn-out battery) lead to repurchases, some replacements are also due to software issues: slowness, feeling of heaviness, compatibility issues, OS or applications that are no longer updated, etc. As part
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transition implies a massive electrification, including transport electrification. This leads to an increased demand for lithium-ion batteries and associated cathode materials such as nickel, cobalt and