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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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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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. The postdoctoral researcher will play a central and autonomous role in driving the project: i) Implement established protocols for the production and purification of bacterial pili ii) Ensure quality control
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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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on hyperspectral imaging data acquired from cultural heritage objects. The postdoctoral researcher will conduct research aimed at developing and implementing hybrid models that combine physical radiative transfer
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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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• 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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in the integration of microscopic imaging with transcriptomics, through the development of variant models for modality fusion. The postdoctoral position will be part-time within the computational
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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Biotechnology Institute of Aix-Marseille (BIAM), located in Cadarache, France. The BIAM is a mixed research unit composed of the CNRS, CEA and Aix-Marseille Université (AMU). The postdoctoral researcher will take