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                Field
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                methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a 
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                (scRNA-seq) • Perturb-seq (combining genetic perturbations with scRNA-seq) • Functional testing of beta cells • Advanced microscopic imaging and flow cytometry with imaging You don't need to know 
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                the completion of a PhD/Phil in molecular or cell biology or neuroscience or a relevant area together with relevant experience. Experience in mammalian cell culture and analysis of molecular and cellular 
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                on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates 
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                engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 23 Nov 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer 
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                , NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF 
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                have or be close the completion of a PhD/Phil in molecular or cell biology or neuroscience or a relevant area together with relevant experience. Experience in mammalian cell culture and analysis 
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                FieldComputer science » OtherEducation LevelPhD or equivalent Skills/Qualifications CANDIDATE ’S PROFILE The candidate should possess a PhD in machine learning or computer vision and have a strong publication 
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                cell lines and primary cells. Technical support in fluorescent microscopy acquisition. Managing Image processing and analysis of live imaging microscopy acquisitions. Basic requirements of the position 
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                present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178 and SSFA) acquired by confocal microscopy combined with image