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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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future colleague? Apply now! Education: A PhD's degree in electrical engineering, computer science, energy systems, or a related discipline. Experience and skills: Hands-on experience with RT-HIL and rapid