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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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initiative at Aalborg University 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
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Description In collaboration with Chalmers University of Technology (Chalmers), the Technical University of Denmark (DTU) offers a new PhD position, “Scalable LLM-driven Semantic Digital Twins for Building
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scientific emphasis but with substantial collaboration between them: Stipend 1: AI Core – Deep learning models for genetic interactions This stipend focuses on developing and analysing deep learning
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project falls under the collaboration between Research Thrust RT3 on representation, compression, learning, and inference, and Research Thrust RT4 on Reliability and trustworthiness. Key challenges include
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, they are ill-suited for inference about system's health in rapidly changing environment of wind turbines. Although physical laws can be enforced to learn a model whose parameters can be physically interpreted
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of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
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problem-based learning, with a focus on interdisciplinary collaboration between academia and industry to generate solutions to practical challenges within the sector. Part of the project’s outcomes will
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing
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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD