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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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+ benefits. Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful candidate will report to the Principal
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. The post is ideal for a medically qualified individual with an interest in maternal-fetal medicine, imaging, and clinical research. This provides a unique opportunity to be part of a large, multidisciplinary
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the feasibility of a full ultrasound image analysis pipeline for the extraction of volumetric assessment of the fetal brain using point-of-care ultrasound devices. The post holder will play a key role in acquiring
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated