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Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/
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initiatives (e.g. the International Polar Year 2032-33) Integrating novel tools and methods into research and advice to Greenlandic and Danish authorities, including AI-driven data analysis, process-based
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and
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learning spaces can bridge the on-campus social learning moment with extended, individualised learning in other temporal and physical contexts. The project is centrally concerned with how generative AI tools
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. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management, funding, dissemination, and collaboration. We are recruiting several
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has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process
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and Collaboration; Natural Language Processing; Probabilistic and Symbolic AI; Physical and Embodied Interaction; Quantum Systems Analysis and Synthesis; Systems Design & Development Practices; Web
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transform discoveries into real-world solutions that enhance human health and drive societal impact. Information on the Department can also be found at: https://healthsciences.ku.dk/ and https://bmi.ku.dk
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relevant professional and/or educational background within material physics at master degree level, with solid state physics courses including materials and semiconductors. Experience with manufacturing