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. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude research project Tensions in Arctic Infrastructures (in short
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, focusing on communication, co-creation, and the development of inclusive practices in educational and welfare contexts. Practice-oriented and collaborative research methodologies, that support innovation and
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and
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should demonstrate research on emerging technologies for collaborative learning, including areas such as video-based competence development, digital mediation of learning processes, and the use of new
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of creative professionals, in particular architects, in integrating decision support during design ideation. Your work will combine requirements gathering with interactive system development and empirical
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy infrastructure. The research will investigate how machine learning
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recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate disassembly, reuse, and remanufacturing
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studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how robots in clinical settings can communicate
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, and developing systems capable of identifying and prioritizing the user’s intended sound sources. Overall, the PhD works contribute to the development of intelligent, user-aware hearing assistance
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through online surveys and interviews, prototype development for accessible setup and operation of nanoservers (both on web and mobile platforms), and longitudinal evaluation of the prototypes through live