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.
It 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 computational biologist / bioinformatician (MSc level) who is experienced in the analysis of large-scale biomedical omics or neuroimaging data, using statistical methods and machine learning, and bioscientific data processing and programming.
The candidate will conduct integrative machine learning analyses of biomedical data, focusing on molecular, neuroimaging and clinical data for neurodegenerative diseases.
This will include the development of new structured machine learning approaches, the application of software to disease-related multimodal datasets, and the joint interpretation of the 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 pathway-, network- and machine learning analyses, the goal is to improve the mechanistic understanding of molecular and cellular perturbations in common neurological disorders.