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processing, quantitative analysis, and alignment of functional imaging data with post hoc molecular information. A major part of the role is method development: identifying technical limitations
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 1 day ago
proximal optimization algorithms to solve it. Understand the principles of HM-CARS imaging and the challenges of data processing for muscle disease characterization. Explore the dataset and implement
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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or experience in digital image processing, computer vision, machine learning, data science, or a related field. Familiarity with Python libraries such as NumPy, OpenCV, Matplotlib, or similar scientific computing
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experience with empirical research and a strong aptitude for quantitative and technical methods. Experience & competencies Experience with Python and machine learning, preferably applied to medical imaging
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3D Integration — Co-register and combine spectroscopic, spectral imaging, conventional imaging and 3D data acquired over common regions of interest.; • Data Processing and Machine Learning — Develop
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. — Excellent communication skills and a user-centred approach. The following will be particularly valued — Experience in analysis using machine learning or artificial intelligence applied to biomedical images
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& Responsibilities Assist with the development, implementation, and testing of prototype AI, machine learning, and intelligent software tools to support healthcare and medicine research objectives. Support model
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
://jobs.inria.fr/public/classic/en/offres/2026-10518 Requirements Specific Requirements The candidate is expected to have skills in any or all of the following domains computer vision, image processing background
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-VIS-NIR). Experience in hyperspectral data processing (HMSPL, μXRF, μXAS) and statistical analysis (clustering, machine learning) is preferred. Familiarity with fossilization processes and taphonomic