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the experimental team of the PHI group. They will support the activities of the PHI group during the experimental campaigns carried out on the facility, whether on subjects related to "high contrast laser-matter
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Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first
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of GeSn, where a direct band gap material (i.e. high efficiency for the optical emission) is obtained at Sn contents of >9 at.%. Prototypes of GeSn photodetectors, lasers, and LEDs have been fabricated from
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