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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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Inria, the French national research institute for the digital sciences | Nantes, Pays de la Loire | France | about 3 hours ago
24 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and
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16 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Arts » Visual arts Computer science » Programming Researcher Profile First Stage Researcher
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at the far edge of the computing infrastructure. Given the challenges of limited computation, energy constraints, and communication bottlenecks, there is a growing need to process data locally while ensuring
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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communication and interpersonal skills Advanced knowledge of cloud computing such as Adobe, O365, Box, OneDrive, etc. Advanced knowledge of standard desktop imaging such as MDT, ISO’s, Intune, SCCM, etc. Advanced
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images; Adapt/Develop AI methods to identify faults and fractures in the images; Write papers (in English) describing the work aiming at top computer science and geosciences venues; Present the work
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modalities based on diagnosis. Knowledgeable in computer software for all imaging modalities. Independently performs standardized imaging protocols based on diagnosis. Competent in stereopsis technique