Postdoctoral Fellow in Computational Systems Biology at the Luxembourg Centre for Systems...
University of Luxembourg
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source : Euraxess


Postdoctoral Fellow in Computational Systems Biology at the Luxembourg Centre for Systems Biomedicine

Valid from 13 / 12 / 2021 to 14 / 02 / 2022)

Language : English (UK)

data :

Job Number : UOL04494

Contract Fixed Term Contract

Type : Duration 12 Month

Type :

Work Hours Hours per Week

Expected 01 / 12 / 2021

Start Date :

The University About us...

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was

founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary

centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial

Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data

Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its

international outlook, #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

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.

Your Role...

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 to design cellular conversion strategies for Regenerative Medicine purposes. This framework will be applied to obtain in vitro

limbal stem cells, which will be later used for clinical transplantation to treat patients who have lost their vision. In particular, the selected

candidate shall develop a computational methodology based on information and graph theories, using single-cell transcriptomics data, to model cell

populations dynamics and design strategies for cellular conversion. In addition, he / she will participate in the project management and planning,

including the supervision of one student. This is a collaborative project with Professor Michele de Luca’s group at the Center for Regenerative

Medicine Stefano Ferrari , University of Modena, where the experimental validation of the computational predictions will be conducted.

What we expect from you

Requirements of the ideal candidate :

  • PhD degree in bioinformatics, computer science, engineering, physics or a related discipline
  • Strong computational skills
  • Prior experience in mathematical modelling of biological networks is strongly desired
  • A strong publication record in related fields
  • Excellent communication skills and working knowledge of English
  • We offer...

  • Opportunity to do research into biomedical problems within a highly dynamic research institutions (LCSB) and in collaboration with an internationally
  • recognized partner (Center for Regenerative Medicine Stefano Ferrari , University of Modena)

  • An exciting international environment
  • A very competitive salary
  • In Short...

  • Contract Type : Fixed Term Contract 12 Month
  • Work Hours : Full Time Hours per Week
  • Location : Belval
  • Job Reference : UOL04494
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