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computational frameworks to simulate and integrate multi-modal data. Quantifies biomedical imaging data. Assists in the design of computational research. Evaluates research findings and assists in the reporting
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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synthesize and functionalize nanozeolites tailored for biomedical applications, characterize materials using advanced physicochemical and imaging techniques. Collaborate with biologists and medical researchers
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to predict therapy response in breast cancer based on images (H&E stains) alone or in combination with spatial omics data. The candidate will closely collaborate with partners from the hospital of Salzburg and
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11 Sep 2025 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 1
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background in physics, biomedical imaging, mechanics, or signal processing. Previous experience in MRI (sequence development, instrumentation), biomechanical modeling, or advanced data reconstruction would be
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging