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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
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Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and data visualisation, for example work with regression
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7 Feb 2026 Job Information Organisation/Company Linköping University Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar 2026 - 12:00 (UTC
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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of the project’s digital infrastructure and analysing the Swedish folk high school based on large-scale data. You will have the opportunity to develop and apply data-driven methods, handle large digital archives
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of 20% of working hours. Qualifications By the start date, you have graduated with a PhD or equivalent in a relevant field for the position, such as physics, materials science or chemistry. We seek
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your