44 web-developer-"https:" "https:" "https:" "Newcastle University" PhD positions at Aalborg University
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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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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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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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and ageing living, noncommunicable diseases, multi- and co-morbidity and rehabilitation) that shape our vision for sustainable and healthy and sustainable future. We educate bachelors and masters
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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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. The stipend is within the Data Engineering, Science, and Systems (DESS) research group and supervised by Professor Torben Bach Pedersen. Within Digital Energy, DESS has developed the award-winning FlexOffer
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by design. The lab also develops AI that runs efficiently on small, low-power devices. The goal is energy systems that are smart, secure, and able to protect themselves. The two stipends are open for
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tasks The AI:GeoComm Lab invites applications for two PhD positions, each contributing to the shared goal of developing advanced AI-enhanced atmospheric sensing and communication reliability. The lab
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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data