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Field
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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Strong interest in biomedical applications. Experience of working in a research team and contributing ideas for new research projects Experience in Natural Language Processing and multi-modal data
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: 6380175 University of California Irvine Postdoctoral in Biomedical Imaging (Imaging Instrumentation) - 2025-2026 Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034
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to analyze large-scale clinical datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics
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: 85542BR The RN functions as a member of the interdisciplinary team caring for patients who are undergoing procedures or exams in the Department of Radiology and Biomedical Imaging at any Radiology site
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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architectures to enable near real-time 3D reconstruction from 2D ultrasound video. The post-holder will contribute to cutting-edge research at the intersection of deep learning, computer vision, and biomedical
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.