37 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Aalborg University
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programmes. Additionally, our engineering programmes are among the best in Europe. Job description The Post Doc position will concern energy system analysis and tool development centered around the topic
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funded by the Innovation Fund Denmark under the Grand Solution program. Who are we AAU Energy is a dynamic and internationally oriented research department at Aalborg University, dedicated to developing
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, starting February 1, 2026, or as soon as possible thereafter. The Department of Architecture, Design and Media Technology (CREATE/AAU) has as its goal the development of an innovative cluster of engineering
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and is available from 1 May 2026 or as soon as possible thereafter. You will join the Section for Electric Power Systems and Microgrids at the Department of Energy and contribute to developing future
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Mathematical modeling of Knee OsteoArthritis) funded by the Novo Nordisk Foundation under the Challenge Program on Mathematical Modeling of Health and Disease. The MathKOA research project Osteoarthritis (OA) is
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employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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++) Knowledge of the fundamentals of ML/AI algorithms for communications and networking, and their implementation A creative mindset and curiosity to research and develop new solutions with highly skilled
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Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation