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, functional, and molecular imaging data. This multimodal technology is optimized for preclinical research in oncology, neurobiology, embryology, and cardiology. Its non-invasive nature allows longitudinal
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15 Jan 2026 Job Information Organisation/Company CNRS Department Institut Langevin Research Field Engineering Physics Technology Researcher Profile Recognised Researcher (R2) Application Deadline 4
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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Field Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 2 Feb 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Part
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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scientists, and access to state-of-the-art imaging infrastructure and clinical datasets. Profile You hold a Master of Science degree with first-class grades in: Computer science Electrical engineering