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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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The Technical Faculty of It and Design, Department of Architecture, Design, and Media Technology invites applications for a PhD position in Architectural Research, with a focus on how people, places
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Professorhip grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a PhD fellow your tasks include: Conduct research under the supervision of senior CNAP staff members
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At the Faculty of Engineering and Science, Department of Materials and Production, a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing
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. In addition to the Department of Architecture, Design, and Media Technology, the project involves close collaboration with the Department of Computer Science and is part of a larger project involving
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University (Aalborg CREATE city campus) on the PhD program Media, Architecture & Design, and forms a central part of the externally funded BuddhAi project, which is an interdisciplinary AAU initiative
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machine-learning based methods for analyzing IoT time-series data. Your Competencies: We seek a highly motivated researcher with a PhD in computer science, proficiency in software development, and a strong
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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possible thereafter. The position is available for a period of 12 months, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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communication, microwave engineering, and applied AI. Our research combines strong theoretical expertise with unique experimental facilities, including advanced RF laboratories and high-performance computing