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Field
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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data, including Digital Image Correlation (DIC/DVC) and three-dimensional image analysis. Generation and exploitation of digital models based on experimentally acquired geometries. Scientific programming
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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) develops and applies innovative molecular imaging technologies that reveal biological processes across multiple spatial scales—from whole organs to individual cells and subcellular structures. Within
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
Conference on Image Processing (ICIP), 2025. [7] R. Khabbaz, M. Antonini, S. Kas Hanna, Marker Guess & Check Plus (MGC+): An Efficient Short Blocklength Code for Random Edit Errors, International Symposium
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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for new and improved metrology solutions to meet these challenges. Digital holography (DH) is a technology that can provide single shot full wavefield imaging of flat single layered structures. However, its