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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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(DDLS) use data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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severe side effects. A major challenge is monitoring treatment efficacy in detail and detecting relapse early. This project addresses that challenge by analyzing cell-free RNA in patient blood samples
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cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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architecture and viral factories within infected cells. The project will combine virology and structural biology approaches and involves training in cellular cryogenic electron tomography (cryo-ET) data
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, 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 to recruit and train the
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experimental and analytical components and will be carried out in close interaction with another PhD student in the group who has a stronger wet-lab focus on reservoir biology, cell culture, and intact/defect
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, computational 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