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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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preclinical studies involving radiopharmaceuticals for diagnosis and radionuclide therapies (in vitro uptakes, in vivo biodistribution, therapeutic efficacy), - Improving image analysis workflows to extract
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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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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cryo-EM Desirable skills: Experience in cryo-EM image analysis Experience with complex bacterial systems (pili, flagella, secretion systems) Personal qualities: High level of autonomy Strong experimental
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• Establishment of optogenetic systems: development and validation of an Opto-TBRA system for its controlled activation. 4. Analysis of collective behaviors • Real-time imaging: Use of confocal and multiphoton
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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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experimental work, including prototype fabrication, experimental setups, measurements, and data analysis - The ability to work both autonomously and collaboratively within a research team, and openness