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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
or segmentation methods are used with no other objective than their own, using objects as landmarks for localization introduces specific constraints in terms of repeatability across different viewpoints
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans
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Computational Physics and Biological Imaging comprises research in computational methods for structural biology, image reconstruction, and data-driven modeling of biological systems. The Division carries out
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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an audio narrative involves more than simply verbally reproducing textual information and describing the associated images; it requires constructing an auditory narrative from a multimedia object. It is
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Computational Physics and Biological Imaging comprises research in computational methods for structural biology, image reconstruction, and data-driven modeling of biological systems. The Division carries out
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the peculiar optical properties of nanostructures and state of the art instrumentation for optical imaging. The methodology will be explored within the context of drug-target interactions of importance to early
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and