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computational data organization, microscopy image management, and research productivity. The role assists faculty and Principal Investigators in organizing, curating, and preparing large-scale microscopy image
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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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medical imaging processing. Position Details Additional Information Posting Category Research - Non Academic Working Title Research Imaging Analyst Job Title Research/Ag Specialist Salary Grade RA21S
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More Jobs from This Employer https://main.hercjobs.org/jobs/22095542/medical-physics-medical-imaging-junior-or-assistant-specialist-2025 Return to Search Results
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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. Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision. Proficiency in mathematics, medical statistics, and 3D geometry. Proficiency in scientific and
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at professional conferences, and career development. Qualifications: BSc or MSc degree (Psychology, Neuroscience, Computer Sciences, Medical Physics, Biomedical Engineering, or related field) Other Qualifying
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with setting up and working with federated learning frameworks. Background knowledge in medical imaging or healthcare research environments. Comfort working with cross-disciplinary teams (clinical staff
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 20 hours ago
, as well as in scientific computer tools for data and image analysis (ImageJ, Image Lab and GraphPad). Participation in scientific dissemination activities (conferences, seminars, Research Night, Area
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Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor