14 learning-"https:" "https:" "https:" "https:" "https:" "Mathjobs" PhD positions at Linköping University
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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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and apply AI and machine-learning methods to infer interaction networks from acoustic co-occurrence and activity patterns, and analyse their structural properties to link topology to response diversity
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Computational Fluid Dynamics (CFD), fluid mechanics, and Artificial Intelligence (AI), with a particular focus on developing deep reinforcement learning methods for active flow control of hydraulic
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group
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years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org
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. Your workplace Your workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network
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variety of competences. Prof. Tybrandt is the recipient of the ERC CoG 2022 and Wallenberg Academy Fellow 2021. Read more at: https://liu.se/en/research/soft-electronics At the Laboratory of Organic