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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
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neuronal activity, optogenetics, chemogenetics, and viral engineering for in vitro circuit mapping and in vivo behavioral manipulation, as well as machine learning and computer vision for behavioral analysis
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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                Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
2 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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research institutes participating to consortium with a unique combination of expertise in solid-state NMR and materials science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR
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10 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Biologie du Développement de Marseille Research Field Neurosciences Biological sciences Researcher Profile First Stage
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objectives. For example, digital image processing tools, such as filtering or mathematical morphology, could be evaluated to extract structural elements of road edges from images. By combining spectral and/or