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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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at the Very Large Telescope in Chile to test the algorithm with the SPHERE+ instrument. Activités The PhD will employ a combination of simulation and experimental validation: • Imaging processing and control
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. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
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8029) bringing together researchers, engineers and doctoral students across a broad spectrum of electrical engineering topics, including electronics, electrical energy systems, signal processing, and
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. The laboratory also develops cross-disciplinary research areas between these teams. It hosts a large number of PhD and postdoctoral researchers. It is a multidisciplinary research unit in the field of cognitive
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contract. Expected start: 1 October 2026. PhD enrolment: Université de Lorraine (doctoral school C2MP). The project is part of the ENACT AI Cluster, in the priority area “AI for Engineering and Scientific
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international neutrino experiment under development, hosted in the United States, that brings together the efforts of more than 1400 scientists and engineers from more than 200 institutions around the
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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of the beam energy with a relative precision of 10-6. This will be achieved with the resonant depolarization procedure, which exploits the existence of depolarizing resonances at specific energy values related