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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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images of CH₂ and CH₃ bonds required for constructing histological images [2]. This Postdoctoral research project aims to develop a new technology based on photo-thermal stimulated Raman scattering
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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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21 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Conservation Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised
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stained to resemble H&E images (https://doi.org/10.1364/BOE.10.005378 ). This postdoctoral position aims at developing tools for classical H&E and virtual SRH staining and classification. This work is
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models. The project will involve statistical, computational, and theoretical components, including: - derivation of environmental covariates that best reflect resource uptake processes above- and
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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science: the work carried out there covers the fields of linguistics, psychology, computer science, philosophy, education, and neuroscience, to varying degrees. Researchers at the CLLE laboratory have
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of Catalysis and Chemistry of Solids (UCCS, UMR 8181 CNRS) brings together 105 researchers and faculty members, 32 technical and administrative staff, an average of 80 PhD students, and 20 postdoctoral
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are seeking a highly motivated postdoctoral researcher with: • A Ph.D. or equivalent in genomics, epigenetics, bioinformatics, biostatistics, computational biology, or a related field • Strong background in