28 learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Luxembourg
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on this position must be proficient in English and either French or German. The University encourages its staff to learn the other language and provides access to language courses to this end. We offer A modern
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: https://www.list.lu/ How will you contribute? Among other responsibilities, you will: · In coordination with the group leader be responsible for the organization of the group’s
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Luxembourgish energy utility, studying how organisations keep meaningful control over AI agents that learn from the people who use them. Once agents become ubiquitous across an organisation's processes and
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How
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: https://www.list.lu/ How will you contribute? Describe the main responsibilities of the position. As a key member of the project(s), you will be responsible for a range of critical tasks: · ML
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: https://www.list.lu/ In the Environmental Sustainability Assessment and Circularity (SUSTAIN) research unit, the different research groups advance science-based methods through the intensive development
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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab
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development activities at the intersection of Generative AI, Multimodal Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support