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specialized developmental cycle and its obligate intracellular lifestyle that depends on precise modulation of host cell pathways. Key knowledge gaps concern how C. trachomatis maintains its intracellular niche
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research
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information see (https://lundmark-lab.se/ ) Work responsibilities Culturing and analysing mammalian cell models for infection Designing and developing infection models of flavivirus and alphaviruses Generating
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September