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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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A PhD stipend within the AI:EcoNet Lab AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration
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that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and nine labs will be initiated in 2026 with a total of 18 PhD stipends. The AI:HARDWARE Lab is part of
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collaboration with academic and industrialpartners in Denmark and across Europe. The position includes, among others, preparing scientific publications, presenting results at conferences and workshops, and
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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their traditional functions and develop new strategic roles to become active platforms for collaboration across logistics, energy systems, industrial development, and regional transformation. Ports have traditionally
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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 Safe Learning Based Control for Autonomous Robots in Dynamic
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the Learning and Decisions research group. Our goal is to enable machines and infrastructures to operate autonomously, work together, and collaborate with people. We develop new artificial intelligence methods