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This is a fully funded position for 24 months within the FNR INTER project “Efficient and Efficacious Cellular Reprogramming with Edgetic Perturbations” (EdgeCR). EdgeCR aims to push the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the...
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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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will have the opportunity to investigate innovative solutions using machine learning algorithms and predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one
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Temporary contract | 24 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By generating relevant...
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and...
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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 project on the study of neurological disorders. The candidate should have experience in the analysis...
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and will employ one PostDoc and one PhD student.
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations