Sort by
Refine Your Search
-
, microsystems for injecting drugs) or transport (Lidar for aeronautics and trains). Context and motivation As a result of the reduction in the size of CMOS transistors, low-frequency noise (LFN) due to charge
-
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
-
or the vibrational transitions of a material, to the spatially confined electromagnetic field of an optical resonator. Most importantly, this occurs even in the dark because the coupling involves the zero-point
-
. The main activities include: (i) the experimental implementation and characterisation (spectral, spatial and intensity noise) of frequency conversion devices using chalcogenide components/materials (crystals
-
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
-
signal-to noise Post-processing: denoising, reconstruction algorithms Comparison with high-field MRI: deep-learning and other AI modalities for low-field MRI optimization Close cooperation with
-
of geophysicists, geologists and astronomers working together on major scientific issues: natural hazards and risks (earthquakes, landslides, tsunamis, floods) and man-made risks (man-made earthquakes and vibrations
-
and astronomers working together on major scientific issues: natural hazards and risks (earthquakes, landslides, tsunamis, floods) and man-made risks (man-made earthquakes and vibrations, pollution