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annotations are scarce or unreliable. Recently developed unsupervised learning methods allow to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes
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-resolved imaging of phage infection in biofilms. We study human viruses from the families Picornaviridae and Flaviviridae, as well as tailed phages of Staphylococcus aureus and Pseudomonas aeruginosa . Our
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novel strategies to treat seizures and cytotoxic edema, especially in neonates. To reach this goal, we are addressing the following questions: 1. How does the brain inhibitory system work at the cellular
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to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them for downstream tasks. In this project, you will develop novel unsupervised machine learning methods
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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, including culture of mammalian cells in vitro, immunohistochemistry, and imaging. Demonstrated ability to work with mice. Education: Master's Create a Job Match for Similar Jobs Logo About Xavier University
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team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly valued but not mandatory. We offer We