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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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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
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of Paris at Sorbonne University. The research team involved in the project is composed of scientists whose expertise spans electrochemistry, corrosion, surface science, and vibrational spectroscopy
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