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together with data from clinics, genomics, proteomics, and metabolomics. Our research group has developed several advanced methods for integrated analysis of the detailed image data and all other collected
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
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this research frontier. This project is a key part of our broader initiative to employ innovative, interpretable data-driven analysis methods and significantly advance our understanding of immune cell inter
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having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer
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student in data-driven precision medicine and diagnostics. This covers data integration, analysis, visualisation, and data interpretation. The project The industrial PhD student will develop a comprehensive
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, and transformation into diseased states. Yet, combining AI-based analysis of H&E data with spatial omics is only at its very early stages. The purpose of this project is to bridge this gap through
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data, and advanced data analysis techniques aiming to advance personalized medicine. The position is part of the research project titled “Personalized Medication Strategies to Enhance Efficacy and Reduce
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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial