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-Argumented Generation (RAG) to improve the quality of a chatbot's answers. As case the PhD project uses a news chatbot called "NEO", developed by the European Broadcasting Union (EBU) in Geneva. This PhD
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interdisciplinary lab will include two PhD students and a cross-disciplinary team of supervisors. The team members, including the two PhD students, will collaborate closely to bridge technical development and
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over-the-top and the ongoing development of 5G and 6G. With new network structures, also conditions for content creation changes; it can be assembled ‘on the fly’ allowing for a highly granular and
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Series modeling in continuous and discrete time Developing the Group for Research in Econometrics And Time series including attracting PhD-students, post docs and permanent staff. Teaching in
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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, non-communicable diseases, multi- and co-morbidity and rehabilitation) that shape our vision for sustainable and healthy and sustainable future. We educate bachelors and masters of science within