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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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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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. 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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. 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
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https