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images, detecting hidden information in generated images The postdoctoral researcher will conduct research activities in steganography, steganalysis, and detection of generated contents. Artificially
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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, segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in
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synthesize and functionalize nanozeolites tailored for biomedical applications, characterize materials using advanced physicochemical and imaging techniques. Collaborate with biologists and medical researchers
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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2 Sep 2025 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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mathematics. The skills expected for the position are: - excellent command of the theory of random processes, in particular measure-valued Markov processes; - good general knowledge of population dynamics
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movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground