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of the project is to explore how generative AI can be integrated into the early stages of the architectural design process to improve sustainability-driven decision-making. A main challenge is finding ways to link
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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
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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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, 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
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webinars, sessions held within Lead Authors Meetings (LAMs) and, as necessary, by direct contact. CSs must observe all the principles and procedures of the IPCC, including code of conduct (https
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. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
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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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consists today of 4 tenure staff, 2 assistant professors, 1 research assistant, 1 PhD student, 1 lab technician and a handful of master students. The research group conducts research within the field