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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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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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science approach to lead, support, and expand existing research, teaching, and outreach efforts focused on advanced imaging and analyses. Position Details Additional Information Posting Category Research
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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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Doctoral Scholar – AI Imaging & Retinal Disease Full/Part time status: Full Time Percent time: 100% Position Description: The Department of Ophthalmology and Visual Sciences is seeking a Postdoctoral
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Computer Applications: Microsoft Office Required Additional Knowledge, Skills and Abilities: Highly proficient in medical imaging toolboxes/software including FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
to geysers on Triton. These images have been used countless times over the past three decades to conduct scientific analyses in planetary geology and atmospheric science, to inspire new generations
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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position
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to advancing precision medicine through computational replicas of human physiology and healthcare systems. The department brings together expertise in engineering, medical imaging, computational modelling, and