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                innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be 
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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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                the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the 
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                FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing 
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                , segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in 
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                a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation 
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                interactions. Application of mineral amendment as an environmentally and economically sustainable method for soil organic matter increase will be explored. Cutting-edge in situ imaging techniques will be used 
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                through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project iMAGE aims to study the rise 
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                characterization of the obtained optical fibers (loss, bend sensitivity, modal quality, polarization, etc.). - Geometric measurements of fibers (surface roughness, transverse profile, SEM imaging, etc 
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                movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground