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pioneering method for obtaining the full conformational landscapes of biomolecular complexes at atomic scale from cryo electron microscopy (cryo-EM) images. It has been shown that MDSPACE analyzes
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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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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of the CNRS and the University of Limoges. He (She) will join the “Phot-fibre” team in the “Fiber photonics and coherent photonic sources” axis. He (She) will collaborate with colleagues from A*STAR Singapore
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, for the implementation of spin-photon and photon-photon logic gates. - To increase the spin qubit coherence by reducing the magnetic fluctuations of the environment, through techniques analogous to Raman cooling
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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photonic imaging and patch-clamp electrophysiology. The postdoctoral fellow will contribute in particular to different aspects: - in vivo calcium imaging (ex vivo imaging approaches and patch-clamp
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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