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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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, editing intents, and real-world conditions. The project will leverage advances in deep learning, multimodal representation learning, reinforcement learning, and image/video processing to develop novel
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surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity and all qualified applicants
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. Computer proficiency is essential, including familiarity with collection management systems and image-editing software. Outstanding written and verbal communication skills. Skilled in assessing the physical
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. Maintaining timely imaging workflows and supporting both radiologists and clinical staff. Ensuring imaging studies are interpretated in a timely manner in accordance with Radiology department guidelines. Serve
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of expected activities, see the FNIH Precision Dosimetry Imaging Biomarker (PDIB) project: https://fnih.org/our-programs/biomarkers-consortium/precision-dosimetry-imaging-biomarker/ Are you passionate
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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-hospital. You will be predominantly based in theatre and diagnostic imaging, providing the delivery of anaesthesia and analgesia to our diverse referral caseload, from Soft Tissue Surgery, Neurology
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and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i