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. The open position is part of the NAXDivo Core project, funded by the Fonds National de la Recherche (FNR), which aims at generating and analyzing whole organism models (zebrafish and mouse) to dissect
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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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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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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain,...
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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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(FNR) on ‘Rule of Law Principles - which model for the Global South?’ The project focusses on the transition of the People's Republic of Laos into a constitutional state based on the rule of law. The
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a Ph.D. candidate whom you will be co-supervising and another postdoc with expertise in experimental set-up design and construction as well as fluid dynamics, as well as with other post-docs and
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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving