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website: https://www.list.lu/ How will you contribute? You will join a dynamic research team working on the real-time operation of intelligent and active grids, bridging edge devices and cloud-based
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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, enabling on-demand production and repair using recycled plastics and high-performance materials. By incorporating dynamically crosslinked recycled plastics, the project enhances mechanical properties and
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engineer and Postdoc P1 to ensure cross-vector coherence in infrastructure models and boundary conditions. Participating in the design and execution of scenario simulations, including policy- and technology
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· Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities represented in our workforce
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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The AI Factory (L-AIF) is a national flagship initiative that aims to foster a robust and inclusive AI ecosystem in Luxembourg by bridging education, research, industry, and society. It focuses on building AI skills, promoting trustworthy AI, and accelerating innovation through targeted...
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) Positions Postdoc Positions Country Luxembourg Application Deadline 10 Oct 2025 - 01:00 (Europe/Luxembourg) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2025 Is
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Deadline 12 Sep 2026 - 12:14 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive