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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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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and relationship to the applicant, of one referee Early application is highly encouraged, as the applications...
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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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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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to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research and aging
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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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interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus
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interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus
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of your academic achievements (e.g. top 10–20% nationally) and highlight your theoretical expertise in (bio)chemistry, cell and developmental biology, or molecular biology Early application is highly
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover...