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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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PhD student, as well as dissemination of the results (publications, conferences). Saint-Gobain offers innovative solutions for the construction market. Among these, functionalized glazing for enhanced
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). • Electronic transport measurements and charge sensing. • Numerical modelling and data analysis. The ideal candidate will demonstrate strong experimental skills, scientific autonomy, and a willingness to work at
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Metasurfaces: • Develop multilayered MSs using FDTD, RCWA, or inverse design methods to achieve broadband achromatic performance (400–700 nm). • Optimize MS geometries for high numerical aperture (NA), wide