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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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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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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Advanced expertise: Experience in Biophotonics, which may include light
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. Proficiency in programming and data analysis. Experience in imaging/microscopy is an asset. Autonomy, rigor, creativity, team spirit, and strong communication skills. Additional Information Selection process
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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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develops microfluidics devices for non-destructive single-cell imaging in controlled conditions that, combined with molecular genetic methods, allow to monitor the dynamics of these processes at the single
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, imaging, and data processing. Activities will be mainly carried out at the BNIF platform, Building 50 of the Triolet campus, and will require strong autonomy, flexible organization, and a collaborative
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perfluorinated acids widely used in industrial processes. Public relevance further grows when considering the effects that mixtures of pthalate plasticizers and perfluorinated acids could have during development
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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