125 embedded-system "https:" "https:" "https:" "https:" "St" positions at Aalborg University in Denmark
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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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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to the user, which pictures to show? A third possible topic is performance improvement of using a graph-based analysis and/or infrastructure. Typical RAG systems use a semantic search based on embeddings. NEO
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, critical planning theory, and practice-oriented research carried out in close collaboration with public authorities, civil society organisations, and private partners. The position is embedded in
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-supervisor is Assistant Professor Jeanette Falk (jfo@cs.aau.dk), Department of Computer Science. For information on Jeanettes profile, please see: https://vbn.aau.dk/en/persons/jeanette-falk/ https
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overview of the group can be found here: https://www.business.aau.dk/research/research-groups/marketing. Our teaching approach is based on our research expertise, emphasizing both rigor and relevance as
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particular emphasis on automated decision-making in autonomous cyber-physical systems. The application areas cover a wide spectrum of autonomous systems, including AGVs/UGVs, UAVs, USVs, and related systems
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more about the Department of Health Science and Technology at: https://www.hst.aau.dk. The Aalborg area has a high quality of life and work/life balance. There is a lively cultural scene, modern
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At the Faculty of Engineering and Science, Department of Materials and Production one or more positions as PhD stipend in Artificial Intelligence for Autonomous Systems, within the doctoral
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Object-oriented edge-casting using semantic encoding within