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Field
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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modality for single-molecule localization. The main responsibilities will include: -designing and developing the optical instrumentation, -adapting and extending existing image and data processing tools
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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expertise in quantitative biophysics and/or modeling approaches. • Experience in advanced imaging, quantitative data analysis, and image processing. • Ability to develop interdisciplinary approaches
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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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, based in Angers and Rennes (University of Angers, University of Rennes, INRAe, Biogenouest, France Life Imaging), offers cutting-edge biomedical imaging solutions. With four preclinical MRI systems (1.5T