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reconstruction algorithm (CAVERNS-WatChMaL) to atmospheric data from Super-Kamiokande and T2K. They will carry out the first Super-Kamiokande oscillation analysis based on a deep-learning algorithm, with the
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to tissue engineering and to establish alternative experimental models to animal testing (NAM). The work will be carried out on the INGESYSBIO meta-platform: Engineering of native or reconstructed
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P2S2 project: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions
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OLED devices. Finally, the design and integration of wavefront-shaping functionalities will aim at demonstrating a first prototype of a directional meta-OLED capable of generating structured light. The
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. sediba). - Develop statistical shape models and contribute to the training of hybrid AI-mechanical meta-models (model reduction). - Contribute to the project's deliverables: scientific publications