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Field
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, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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21 Feb 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Physics Technology
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
approaches (e.g., super-resolution imaging, single molecule tracking, in vitro reconstitution, X-ray crystallography, and cryo-EM) to delineate the molecular bases and structural rules governing
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spectral imaging, lifetime data, or multi-channel image datasets. Solid background in chemometrics, machine learning, or deep learning, particularly for classification, clustering, or pattern recognition in
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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interactions. - Development and monitoring of animal models, including drug administration and assessment of tumour progression and metastasis using optical imaging techniques (bioluminescence and fluorescence
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. The Fairbrother Laboratory uses a combination of computational biology and high-throughput genomics techniques to identify functional elements in the genome. We seek to understand recognition events important in