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independently on complex problems while collaborating effectively within a multidisciplinary research team. · Good communication skills, including the ability to document methods and present results
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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: Implement and develop novel data analysis methods to handle complex biomolecular data. Collaborative Research: Work closely with various research groups to implement a variety of views. Dissemination: Lead
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Analyze complex immunological, transcriptomic, and cellular datasets Collaborate closely with interdisciplinary teams of immunologists, neuroscientists, and clinicians Prepare manuscripts, reports, and
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human iPSC culture and neural differentiation Solid background in cell biology, neurodegeneration, or RNA biology Proven ability to work independently, supervise team members and drive complex projects
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human iPSC culture and neural differentiation Solid background in cell biology, neurodegeneration, or RNA biology Proven ability to work independently, supervise team members and drive complex projects
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harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated
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centre of the University of Luxembourg, combining experimental, medical and computational approaches to analyze complex biological systems and disease processes. In this frame, the Medical Team aims
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perform single-cell RNA sequencing Conduct co-culture experiments to validate CD8 TEMRA-mediated ADCC on patient-derived neurons Analyze complex immunological, transcriptomic, and cellular datasets