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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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therapeutic platform to treat inflammatory bowel disease (IBD) in children. The inflammation of gut tissue in IBD patients results in the overexpression of specific biomarkers. We have previously developed
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computer vision, chemometrics and aquaphotomics. These algorithms will be used to develop soft sensors to enable real-time phenotyping and water quality monitoring, with the eventual goal of utilising
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, hyperspectral imaging, chlorophyll fluorescence, LiDAR and other sensing techniques. The objectives will be to use real-time sensing and models to optimise indoor farming in controlled environment agriculture
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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group Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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precision medicine is expected to use existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population
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methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and