41 postdoctoral-image-processing-in-computer-science Postdoctoral positions in France
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
5 Dec 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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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 postdoctoral researcher will ensure
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, computer vision specialists, and digital humanities engineers, both at the Paris Observatory and at other partner institutions. One of EIDA's core research areas concerns the plural definition of image
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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/11/2025 Closing date for the receipt of applications : 10/12/2025 Research project or operation Genotype-phenotype relation is one of the key open questions in biology. Its understanding would
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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communication (writing of scientific publications, conference attendance) The Gulliver lab is a mixed experimental and theory lab working at the interface of physics, chemistry, biology and computer science
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data to study the ocean. The COMPLEx (COMPutational PLAnkton Ecology) team gathers about fifty members studying marine plankton by collecting data with quantitative imaging instruments and high