10 data-"https:" "https:" "https:" "https:" "KU Leuven" Postdoctoral research jobs at Linköping University in Sweden
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. More information about the research environment and workplace can be found here: https://liu.se/en/research/laboratory-of-organic-electronics/organic-energy-materials The employment This post is a
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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application! We are looking for a postdoctoral researcher to work on the fundamentals of knowledge graphs and virtual data integration. Work assignments You will actively participate and lead work tasks in two
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in
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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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19 Dec 2025 Job Information Organisation/Company Linköping University Department Department of Science and Technology Research Field Engineering » Materials engineering Physics » Chemical physics
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of physiological data, experience in working with natural products and knowledge of neuro-immune interactions. The applicant is expected to be fluent in both written and spoken English. Great emphasis will be given
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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