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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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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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30 Sep 2026 Job Information Organisation/Company Universität Siegen Research Field Computer science » Digital systems Researcher Profile First Stage Researcher (R1) Application Deadline 29 Oct 2026
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for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-064/Default.aspx Work Location(s) Number of offers available1Company/InstituteGrenoble Images Parole Signal
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machine learning or computer vision models Technical competencies in one or more of the following: bio-digital systems, biodesign, applied machine learning, computer vision, computational biology, and/or
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months 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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.ICDT (https://doi.org/10.54499/2023.16314.ICDT ), funded by the Portuguese Foundation for Science and Technology (FCT), I.P., in the following conditions: Type of Grant: Research Grant for a PhD student
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probabilistic digital twins of coronary arteries. The goal is to create patient-specific models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative
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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