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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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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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, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Work assignments You will join the research project Countering Bias in AI Methods in
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Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation/liu/bkv The Department of Cell and Neurobiology (CNB) comprises 100% of the workplace where we conduct research as well as
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biomedical instrumentation, signal and image processing, modelling and simulation, and data-intensive methods and AI‑based approaches for analysis and decision support. The position also involves technology
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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
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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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. 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 focused on application-inspired
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focus within quality management, which in recent years has broadened to include a wider stakeholder perspective incorporating social value creation. The main research focus is on principles, methods and
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for