30 software-verification-computer-science positions at Linköping University in Sweden
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and advanced levels, primarily in our engineering program in Construction Engineering and our master's program in Digitalized Construction. Course orientations where you may be involved include
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educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs
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application! We are looking for a PhD student in Medical Science. Your work assignments As a PhD student, you will participate in the project: Predictive markers for chemotherapy-induced toxicity in childhood
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undergraduate and advanced levels, primarily in our engineering program in Construction Engineering and our master's program in Digitalized Construction. Course orientations where you may be involved include
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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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
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28 Aug 2025 Job Information Organisation/Company Linköping University Research Field Biological sciences » Biology Biological sciences » Other Researcher Profile First Stage Researcher (R1) Country
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part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
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qualification in a relevant subject e.g. bioinformatics, computer science or similar At least two years’ experience of working in a research environment with bioinformatics, genomics and interpretation of big