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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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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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molecules, genes, individuals, species and their life conditions, evolution and interactions in the environment. The focus should be on patterns and processes that previously have been difficult to study, but
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. Documented experience with bioinformatics and/or multi‑omics cancer data integration (e.g. genomics, transcriptomics, proteomics, imaging). Experience from interdisciplinary collaboration with biologists
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program 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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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels