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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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Sciences, Biology, Biophysics, Structural Biology or related field and you like to work on both wet lab experiments and with a significant focus on image analysis, Specific Requirements To apply for this PhD
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17 Sep 2025 Job Information Organisation/Company University of Bergen Department Department of Clinical Science Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher
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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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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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linked to exercise limitations and PEM, with the aim of improving patients' quality of life. The PhD candidate will analyze existing data from Harvard Medical School to investigate the connection between
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available