Postdoctoral Fellow in Luxembourg, University of Luxembourg
Designation/Position- Postdoctoral Fellow in Luxembourg
University of Luxembourg, Luxembourg invites application for Postdoctoral Fellow in Luxembourg from eligible and interested candidates
About- 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 and 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 framework for computational modeling on biomedical problems, especially in the area of network biology. The CBG group includes researchers with theoretical, computational and wet lab backgrounds, thereby providing an unusual interdisciplinary environment. Postdoctoral Fellow in Luxembourg
Research/Job Area- Computer science, engineering, physics or a related discipline
Project Title – Computational Systems Biology (m/f)
Location- University of Luxembourg, Luxembourg
- Ph.D. degree in computer science, engineering, physics or a related discipline
- Strong computational skills
- Prior experience in mathematical modelling of biological networks is strongly desired
- A strong first-author publication record in the fields of Bioinformatics and Computational Biology
- Opportunity to do research into biomedical problems within a highly dynamic research institutions (LCSB) and in collaboration with internationally recognized partners
- An exciting international environment
- Ref: 50015159
- Fixed-term contract (12 months)
- Full time (40 hrs/week)
- The Computational Biology Group seeks a highly skilled and motivated Postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling stem cell-niche interactions to understand the mechanisms of tissue homeostasis and regeneration.
- In particular, the selected candidate shall develop a cell-cell interaction network-based computational approach, using single-cell transcriptomics data, to model cell populations dynamics and design strategies for cell rejuvenation.
- Research will be focused on stem cells of skeletal muscle and to design strategies for enhancing regeneration in the aging muscle tissue.
- In addition, he/she will participate in the project management and planning, including the supervision of one Ph.D. student.
- This is a collaborative project with the Universitat Pompeu Fabra in Barcelona, where the experimental validation of the computational predictions will be conducted.
How to Apply- Eligible and interested candidate can apply online.
Applications should contain the following documents:
- Detailed curriculum vitae
- Cover letter mentioning the reference number
- Description of past research experience and future interests
- Name and addresses of two or three referees
Last Date for Apply– 1 December 2019.