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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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this role, you will likely have the following skills and experience: Completion of a relevant doctoral qualification using image processing, artificial intelligence / machine learning or data science/advanced
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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protein detection and imaging techniques. The post holder could be a postdoctoral scientist with a background in cell biology and molecular biology. Ideally with proven work experience at senior level in
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University of California, San Francisco | San Francisco, California | United States | about 1 hour ago
radiographic exams and processes images on various archival systems. Professionally accountable for submitting high-quality images to PACS. Participates in performance improvement activities in the department
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing