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prognostics, and modelling and control of vehicle functions. Through a close integration of theory and practical applications - often in collaboration with industrial partners - the division offers excellent
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position Do you want to work at the
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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integration of methodological development and practical applications. We maintain extensive collaborations with industrial partners as well as with leading research groups worldwide, providing doctoral students
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external research funding. Interaction is an integral part of the Linköpings University’s research and educational mission, encompassing the dissemination, accessibility, and utilisation of research. Your
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learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
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priority research areas. Since 2008 REMESO’s PhD education is integrated with an international Graduate School in Migration, Ethnicity and Society. More about the REMESO research environment here https
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of ancient DNA databases for common variants in genes influencing HBGA expression, we will track their frequency changes in human populations over historical times. Integrating these findings with historical
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in