University of Luxembourg

Postdoctoral Fellow in Computational Systems Biology

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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 LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary and together we contribute to science and society.

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 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 Altos Lab, where the experimental validation of the computational predictions will be conducted.

What we expect from you…

  • 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
  • Excellent working knowledge in English

Here’s what awaits you at the LCSB...

  • Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
  • Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab – the Scienteens Lab – to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society’s needs and share our passion for science
  • Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more

Find out more about us!

In Short...

  • Contract type: Contrat à durée déterminée 12 Mois (extendable)
  • Work hours: Full Time 40.0 Heures par Semaine
  • Location: Belval
  • Job reference: UOL05711

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 81072 full time

How to apply...

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

We ensure a full consideration for applications received by 1st of June 2023. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

In return you will get…

  • Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
  • A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
  • A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
  • Find out more about the University
  • Addresses, maps & routes to the various sites of the University

About the University of Luxembourg...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and has 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.

For further information, please contact: antonio.delsol@uni.lu

Informatie over de vacature

Functienaam
Postdoctoral Fellow in Computational Systems Biology
Locatie
2, avenue de I'Universite Belvaux, Luxemburg
Gepubliceerd
2023-06-29
Uiterste sollicitatiedatum
Unspecified
Soort functie
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The University of Luxembourg, a small-sized institution with an international reach, aims at excellence in research and education.

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