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 methods for computational modeling of biomedical problems (e.
g., in the area of regenerative medicine and stem-cell biology). The CBG includes researchers with theoretical, computational and wet lab backgrounds, thereby providing a unique interdisciplinary environment.
The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling molecular interactions to elucidate pathological mechanisms of Mitochondrial DNA-associated Leigh Syndrome (MILS), a rare severe pediatric disease affecting the central nervous system with typical manifestation in the form of intellectual and movement disturbances.
In particular, the successful candidate will develop computational and statistical models using multi-omics data (including single-cell transcriptomics, proteomics, and metabolomics data) to identify potential molecular targets for subsequent drug repurposing in the context of MILS.
The modeling methodologies include, but not limited to, network biology, bioinformatics, information theory, statistical modeling and machine learning, agent-based modeling and others.
The project is funded by European Joint Programme for Rare Diseases and includes a consortium of international collaborators, including medical practitioners with existing record of achievements in treatment of MILS.
The consortium aims at discovery of new drugs for MILS using high-throughput scanning of existing compounds / drugs on stem-cell derived neural cells and brain organoids.
In addition, the successful candidate will curate the group’s contribution to the consortium and provide it with statistical and computational support which requires ability to work with various professional backgrounds (biologists, doctors and others).
Finally, he / she will participate in the project management and planning, including supervision of Ph.D. students and reporting of scientific results.
Essential skills and qualities :
Ideal skills :
We offer :