The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .
It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.
The University s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.
Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.
The Luxembourg Centre for Systems Biomedicine (LCSB) was created within the Health Technologies Initiative from the Government of Luxembourg as one of the research priorities of the University of Luxembourg.
The LCSB is an Interdisciplinary Centre of the University independent of the faculties. It combines experimental and computational approaches to analyze complex biological systems and disease processes from a systems biology perspective.
The Computational Biology Group (CBG) provides the LCSB with a solid infrastructure in developing theoretical framework for computational modeling on biomedical problems, especially in the area of network biology.
The CBG group includes researchers with theoretical, computational and wet lab backgrounds, thereby providing a unique interdisciplinary environment.
The Computational Biology Group seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling inter-cellular interactions to understand the mechanisms of tissue homeostasis and regeneration.
In particular, the successful candidate will develop cell-cell interaction models, using network-based computational approaches and single-cell transcriptomics data.
Furthermore, the candidate will build data-driven computational models for cell population dynamics and design strategies for cellular reprogramming.
The topics of the research project include, but not limited to, stem cell rejuvenation, regeneration and cellular conversion for regenerative medicine in the context of muscle, brain, and other tissues.
In addition, the successful candidate will maintain the CBG long-standing collaboration track with experimental biologists to validate predictions of the models.
Finally, he / she will participate in the project management and planning, including supervision of Ph.D. students of the project.
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