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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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of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control
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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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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft 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
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programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities represented in our workforce · Diverse and inclusive
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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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