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excellence at the service of teaching, research and innovation. As part of the ICI (Computational Imaging for Ultra-Low Field MRI) project, which aims to develop a portable and accessible MRI imaging system
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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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risks, lithosphere dynamics, Earth imaging, geodesy-metrology of the Earth and the nearby Universe. It comprises around 200 people (researchers, engineers, doctoral students, etc.). It is spread over two
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project iMAGE aims to study the rise
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two ultrasound imaging techniques: ultrasound localization imaging to assess the presence of neovascularization and ultrasound spectroscopy to try to determine the presence and quantity of intraplaque
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 2 months ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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multitechnique approach, using ion beam imaging/spectroscopy, for example. In this context, the postdoctoral associate will be in charge of developing an operando/in situ cell compatible with ion beam analysis
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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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operational condition, in collaboration between LMA researchers from the “Waves and Imaging” and “Sound” teams, and the LISM laboratory at CEA Cadarache. This research project is a continuation of previous
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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