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preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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scientific imaging, as well as access to hyperspectral imaging equipment and to heritage collections studied within the laboratory's activities. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UAR3224
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and