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Field
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) is one of the most frequent shoulder injuries, but it can remain silent until it becomes severe and requires surgery. Existing techniques like Magnetic Resonance Imaging (MRI) and Computed Tomography
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to solve this issue. Indeed, there is growing evidence that thermal imaging could serve as a tool for measuring emotions in a non-invasive, contact-free way, that does not require verbal communication
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objectives. For example, digital image processing tools, such as filtering or mathematical morphology, could be evaluated to extract structural elements of road edges from images. By combining spectral and/or
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investigate the molecular mechanisms that underlie the regenerative capacity of injured neurons. Our research focuses on gene regulation processes, particularly the translational control of mRNAs into proteins
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not mandatory. Technical skills: • Solid experience with deep learning frameworks (PyTorch, TensorFlow, or equivalent). • Knowledge of image processing and analysis (ideally 3D or biomedical data
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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Description of the offer : We have an open position at the Laboratoire Albert Fert in the field of “NV imaging of spin-wave dynamics in magnonics devices”. In recent years, NV based imaging
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only