91 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aalborg University in Denmark
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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educational development initiatives. As part of the PhD programme, the candidate will also undertake teaching responsibilities, primarily contributing to first-year engineering PBL courses and supporting
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, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen. Contacts Professor Mette Lübeck: +4599402589
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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the general study program. The PhD Stipend is open for appointment from 01.02.2026 or as soon as possible thereafter. The position is for 3 years, and the workplace is in Aalborg. Your work tasks You will be
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theory, or computational modelling, and an interest in sustainable manufacturing and advanced automation. The candidate will work in an interdisciplinary setting between material science, operational
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or as soon as possible thereafter. The position is offered for a period of four months with the possibility of extension. The research assistant will support Associate Professor Troels Krarup in writing a
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models