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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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itineraries. This information will be obtained by processing and analyzing old management documents (management documents, hammering reports and logs, etc.), old planimetry and comparing them with Lidar images
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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and contribute to advanced development projects in these areas. Your main missions will be to: Coordinate electronics development projects from specification to integration. Design and prototype digital
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imaging, etc.) and/or biomechanical models. With a background in physical and sports science and technology or biomechanics, the candidate will propose personalised models of the musculoskeletal system in
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discrimination but with international mobility requirement, with interest in fluorescence, microscopy, photochemistry, photophysics, data treatment and image analyses. Goals of the PhD project include
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), I³ (Inorganic–Isotopy–Imaging), ECOMES (emerging contaminants, speciation, and omics), Surface and Interface Characterisation, and Microbiological Characterisation. Together they enable an end‑to‑end
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Inria, the French national research institute for the digital sciences | France | about 2 months ago
). Under USM, policies developed by system administrators execute in user space, which greatly facilitates their deployment and maintenance. A functional prototype of USM already exists and has been used
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diagnostic of femtosecond laser probe pulses for high resolution ultrafast imaging C. Xie, R. Meyer, L. Froehly, R. Giust, and F. Courvoisier, Light: Science & Applications 10, 126 (2021). https://doi.org
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