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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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. The main activities include: (i) the experimental implementation and characterisation (spectral, spatial and intensity noise) of frequency conversion devices using chalcogenide components/materials (crystals
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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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