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contexts, or a strong motivation to explore how different groups of learners appropriate AI-based tools. A strong technical background, ideally in computer science, software engineering, human-computer
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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, software, and High Performance Computation (HPC) infrastructure; • Excellent scientific infrastructure; • Participation in project meetings and international conferences; • Flexible working hours
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to NLP, KGs, and Digital Cultural Heritage research. Stipend 1: Applicants for the position in the Department of Computer Science must have: • A relevant MSc degree (e.g., Computer Science, Software
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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frameworks. Should be comfortable working with machine learning methods and tools for model development and evaluation. Embedded systems, real-time computing, hardware-software co-design, and hardware-oriented
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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Python and/or Matlab. Experience with software-defined communication systems, emulation tools, and machine learning techniques is considered an advantage. Most importantly, you are eager to learn and apply
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R