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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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be evaluated for lung diseases imaging which are still challenging to diagnose and treat, despite advancements. We will carry out preclinical studies to evaluate the contribution in combination with
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
many conditions governing microstructural evolution and defect formation, yet the physics linking process conditions to three-dimensional defect distribution in engineering-scale geometries remains
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, quantum-limited SQUID-based imaging system. The work will consist of designing and implementing a four-channel digital architecture capable of acquiring, downconverting, and processing GHz-range signals
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Automation), with a specialization in: Electronics, Instrumentation, Biomedical Imaging and Signal and Image Processing The candidate should have the following skills: Strong background in electronic
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-resolution imaging (twice the diffraction limit). This is accomplished by acquiring sequential speckle illumination images and processing them using Random Illumination Microscopy (RIM). This wide-field CARS
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through publications and presentations throughout the PhD. 6 Skills The candidate should hold a Master’s degree in electronic engineering, embedded systems, artificial intelligence, signal or image
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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Réactions et Génie des Procédés) in Nancy (University of Lorraine – CNRS), within a research environment recognized for its expertise in Process Systems Engineering (PSE) as well as in applied thermodynamics