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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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. The Quantitative Imaging and Analysis Laboratory in the Department of Radiology at Duke University is seeking a Postdoctoral Associate to join our team. In this role, you will work on the development
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interface of biology and physics, integrating mechanobiology, quantitative imaging and transcriptomics in organoids and tumors. Located within the largest cancer hospital in Europe, our lab benefits from
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 12 days ago
the earliest disease stages onward, and the development of disease-stage-specific imaging and smartphone-based digital cognitive markers. Your tasks will include: Preparing, cleaning, and
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Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 13 days ago
stages onward, and the development of disease-stage-specific imaging and This position is part of the DFG Research Unit "Layers of Memory" (subproject P7), a consortium spanning Bochum, Bonn
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evaluation and cost-effectiveness studies. Evaluation and analysis of the chest image using radiomics techniques. Where to apply Website https://www.irblleida.org/en/jobs/509/postdoctoral-researcher
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biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed term for 24 months. About you You will be working in a small highly motivated inter
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Title of position: Postdoctoral Associate in Cardiovascular AI and Medical Imaging Department and school: Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine