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@georgiatech-metz.fr • Degree: MSc/engineering degree (or equivalent) in electrical engineering, applied physics, computer science, applied mathematics, signal processing, or a related field. • Strongly expected
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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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++ is a plus). • Knowledge in adaptive optics, control systems, signal processing, or computational imaging is an advantage. Transversal skills: • Ability to conduct research activities independently
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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, and demonstrate significant research experience in this area. Required expertise and skills include: - Proven expertise in electronics dedicated to the amplification and digitization of signals from
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for mesoporous silica monoliths using photo-crosslinkable silica nanocage inks. The printing process, based on Digital Light Processing (DLP), uses UV light to polymerize the inks layer by layer
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—of linguistics, psychology, computer science, philosophy, education, and neuroscience. The doctoral student's work will be part of the Language and Cognitive Processes team, whose research focuses
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typically takes a step of 10 nm in about 10 ms. The spatiotemporal precision of these measurements has been recently greatly increased by developing a new two-photon microscope (the signal is no longer
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management