20 algorithm-development "https:" "Simons Foundation" positions at Aalborg Universitet
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
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to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing listening effort
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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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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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, 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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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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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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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