177 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions at CNRS
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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21 Feb 2026 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 23:59 (UTC) Country France Type of...
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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10 Jan 2026 Job Information Organisation/Company CNRS Department Sols, solides, structures, risques Research Field Engineering » Materials engineering Physics » Acoustics Researcher Profile First
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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Experience1 - 4 Additional Information Eligibility criteria Required skills • PhD in Earth system science, computational modeling, or a related field. • Solid experience in paleoclimatology, climate
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24 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique et d'Etude des Matériaux Research Field Engineering Physics Technology Researcher Profile Recognised
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7 Jan 2026 Job Information Organisation/Company CNRS Department Littoral, environnement et sociétés Research Field Environmental science Environmental science » Earth science Environmental science
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processing and synthesizing different types of social and ecological data at various spatial scales, as well as large spatial datasets in R or GIS ■ Experience working with R ■ Experience in socio