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The Hillman Lab, within the newly formed Department of Imaging Sciences at St Jude Children's Research Hospital is seeking motivated post-doctoral scientists and engineers interested in
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 5 hours ago
opportunity to apply novel genetic tools to study molecular brain function using optical, ultrasound and magnetic resonance imaging. Our interdisciplinary approach encourages researchers with different
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department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future! Antibiotic testing is still defined by bulk growth inhibition measurements. We aim to replace
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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As part of the UKRI funded `Glaciers and Ice Sheets in a Warming World' project, we have an exciting opportunity for a postdoctoral researcher who has expertise in image analysis to join the project
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis