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funded by the PSL University (Paris Sciences et Lettres) aims to bring together complementary scientific approaches, in this case focusing on acoustic imaging at different scales: “ultrasound” with medical
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emphasis on severe childhood asthma, integrating clinical, biological, and imaging data through quantitative analysis and artificial intelligence. Research activities include medical image processing
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Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration
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Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration
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documentation and reporting of imaging studies and procedures to support continuity of care and billing requirements. Collaborate with multidisciplinary teams including breast surgery, medical oncology, radiation
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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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. 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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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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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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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities