37 postdoc-in-postdoc-in-automation-and-control-"Multiple" positions at SciLifeLab in Sweden
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(“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities
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funds 50 high-profile junior group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited
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research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four
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has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS
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research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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Fellows. Each DDLS Fellow will receive a recruitment package of 17 MSEK, which is meant to cover 5 years of his/her own salary, two PhD students and two postdoc positions, as well as running costs
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relevant. PostDoc experience is considered a merit. The role is multifaceted and requires scientific knowledge in the research field to allow for coordination, project and consortium management, strategic
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. Strong knowledge of container technology, such as Kubernetes and Docker. Strong development skills with knowledge of multiple languages. Good command of English, as it is required in daily work. Personal
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pipelines Construct web applications Software development, for example for quality control of data Automation of data and analysis flow Make sure analysis pipelines and tools are “state-of-the-art