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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
imaging and with interest in translating research to clinical context. We require expertise in Machine Learning and Image Processing, notably Image Segmentation. Knowledge in Medical Imaging is desirable
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
the Statify team, located in Inria Montbonnot. He or she will have access to a team of experts in high-performance computing and machine learning that will help him or her to kickstart the project under
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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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with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a
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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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est requise. Bonne capacité de communication en anglais.Master degree or equivalent, with experience in one or more of the following fields: signal processing, machine learning, applied mathematics. A
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] Cross, E. J., Gibson, S. J., Jones, M. R., Pitchforth, D. J., Zhang, S., & Rogers, T. J. (2021). Physics-informed machine learning for structural health monitoring. Structural health monitoring based
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be
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computational tools (e.g. machine learning, artificial intelligence or other approaches) are also encouraged to apply. You will teach pharmacology-related courses in the Bachelors of Life Sciences, Medicine