34 postdoctoral-image-processing-in-computer-science Postdoctoral research jobs in France
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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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6 Sep 2025 Job Information Organisation/Company CNRS Department PHysicochimie des Electrolytes et Nanosystèmes InterfaciauX Research Field Chemistry » Physical chemistry Chemistry » Computational
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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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, 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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preclinical, 3 T vertical for plant imaging). The recruited researcher will benefit from a stimulating scientific environment at the crossroads of physics, mechanics, and life sciences, in an interdisciplinary
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to develop an innovative individualized neurofeedback software suite for ADHD remediation, combining fMRI and EEG. The postdoctoral researcher will work closely with imaging engineers (CERMEP), ADHD clinical
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plasticity. P3Cell includes 50 transdisciplinary members covering molecular and cell biology, pneumology, pathology, bacteriology, thoracic surgery, pediatrics, otorhinolaryngology, informatics, and emergency
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3 Oct 2025 Job Information Organisation/Company CNRS Department Joint Robotics Laboratory Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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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