with up to 4 years fixed-term contract, full-time. Start date flexible from now on until July 2018.Supervisor : Prof. Dr.
Antonio del Sol, Computational Biology Group at theLuxembourg Centre for Systems Biomedicine (LCSB) of the University ofLuxembourg.
Theresearch-intensive program aims to respond to the unmet need of training thenext generation of competent immunologists by tackling next generationimmunology challenges from wet lab procedures to big data analyses.
We offer aninterdisciplinary environment that covers analysis of omics and clinicaldata, as well as basic and translational biomedical knowledge combined with itspractical application to diagnosis and ultimately therapy.
The program includestransferable skills training, support in career development, scientificlectures by international speakers and annual PhD retreats.
The LuxembourgCentre for Systems Biomedicine (LCSB) was created within the HealthTechnologies Initiative from the Government of Luxembourg as one of theresearch priorities of the University of Luxembourg.
The LCSB is anInterdisciplinary Centre of the University, independent of the faculties and itcombines experimental and computational approaches to analyse complexbiological systems and disease processes from a systems biology perspective.
The Computational Biology Group (CBG) provides the LCSB with a solidinfrastructure in developing theoretical framework for computational modellingon biomedical problems, especially in the area of network biology.
The CBGgroup includes researchers with theoretical, computational and wet labbackgrounds, thereby providing an unusual interdisciplinary environment.
The ComputationalBiology Group seeks a highly skilled and motivated Ph.D. student to work on anexciting project that aims to combine epigenetics, transcriptomics andphosphoproteomics data to integrate different layers of regulation forunderstanding cellular disease-
related dysregulations in the context of theimmune system. In particular, the selected candidate shall develop acomputational integrative model of gene regulatory and signalling networks toidentify disease-
related genes and signalling pathways. This is a collaborativeproject with the RIKEN institute in Japan, where computational predictions willbe experimentally validated in animal models.
Requirements of the ideal candidate :
Applications including a motivation letter describing past research experience and future interests, at least two confidential references letters, a full curriculum vitae and a copy of the relevant diplomas showing marks should be sent through the "apply" button before 1 May 2018.
Only complete applications will be considered.