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interest in cytoskeletal dynamics and cancer biology Proficiency in Python and MATLAB for image and data analysis Experience with 3D/4D image processing or quantitative modeling Experience with optical flow
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the Aiguilles Rouges and Mont Blanc massifs. He/she will compile the archive of Sentinel-1 SAR images used to observe these sites and generate interferograms using a multi-temporal InSAR processing chain such as
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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PET/CT unit, and are in the process of developing relationships with other outside healthcare systems. At our various sites we utilize the full panoply of diagnostic imaging devices in all modalities
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, their cross-talk with hepatocytes and ductular reaction (DR) cells, and how these interactions determine regenerative capacity. Using advanced imaging, spatial transcriptomics, and innovative 3D culture systems
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Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network
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sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable
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. Work Performed 60% Create and update certification evaluation forms. Serve as Lead to develop image reading PowerPoint presentations for Readers and study sponsors for training purposes. Assign
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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) including weekends/holidays. Performs various radiographic exams and processes images on various archival systems. Professionally accountable for submitting high-quality images to PACS. Participates in