15 assistant-professor-and-health-informatics PhD positions at Linköping University in Sweden
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Digital systems Technology » Information technology Technology » Interface technology
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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the position. Your workplace The PhD student will work at The Division of Biology at the Department of Physics, Chemistry and Biology (IFM), Linköping University, under the supervision of Assistant Professor
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Biology (IFM), Linköping University, under the supervision of Assistant Professor Christina Hansen Wheat (main supervisor) and Professor Per Jensen (co-supervisor). The Division of Biology carries out
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5 Sep 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 23 Oct
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of Biomedical and Clinical Sciences (BKV). The Department of Biomedical and Clinical Sciences is one of the university’s largest departments, with operations mainly in the Faculty of Medicine and Health Sciences
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and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
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) at Linköping University, Norrköping campus. It is a collaborative effort with Lund University. The research will be supervised by Sr. Associate Professor Andrés Glazunov as the main supervisor, with co
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 29
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the project will be carried out. Your qualifications You have graduated at Master’s level in machine learning, computer science, or a related area that is considered relevant for the research topic