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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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auditable computational methods for harmonizing nationwide clinical microbiology data and linking them to longitudinal population registries. The project builds on the CRITICAL MICROBES database at Umeå
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, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology covers research that fundamentally transforms our knowledge about how cells function by peering
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. The research environment is highly collaborative and interdisciplinary, with close links to national and international networks and consortia. The Data-Driven Life Science Research School Data-driven life
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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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to receiving your application! 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
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start date of 1st October 2026 (or according to agreement).The position is a DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology covers research
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programming and some wet-lab work. The doctoral position is part of the research school within DDLS (Data Driven Life Science). The doctoral student will primarily work together with their main and co
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academic and industrial collaborators. The position is funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) program and the student will integrate into the DDLS
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interpersonal skills, and willingness to work in a fast-paced team environment required Excellent collaboration, and strategic skills Strong oral and written communication, data documentation, and presentation