The successful postdoctoral candidate will develop computational and statistical models using multi-omics data (including transcriptomics, proteomics, lipidomics, and immunomics data) generated from patients to identify novel diagnostic patterns / biomarkers that match clinical findings.
The modeling methodologies include, but not limited to, statistical modeling and machine learning, network biology, bioinformatics and information theory, The project is funded by ERA PerMed and includes a consortium of international collaborators, including medical practitioners with existing record of achievements in treatment of SIRS.
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).
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.
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 pipeline for classification and analysis of patients with the systemic inflammatory response syndrome (SIRS).
SIRS is a life-threatening condition characterized by a mortality of 7-25% depending on timely recognition of the underlying disease and triggers.
The heterogeneity of SIRS symptoms, however, challenges initial therapeutic decisions.
Essential skills and qualities :
Ideal skills :
We offer :
Applications should be submitted online and include :
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system.
Applications by email will not be considered.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
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