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.
We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical analysis of large-scale biological data and bioscientific programming for a project on the study of neurodegenerative disorders.
The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods and machine learning.
The candidate will conduct integrative stratification analyses, focusing on omics and clinical data, and digital sensor or neuroimaging data for neurodegenerative diseases.
This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators.
The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models.
With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in common neurological disorders.
What we expect from you