Postdoctoral Fellow in Computational Biology/Statistical Bioinformatics
University of Luxembourg
Alphonse Weicker, Luxembourg
il y a 15h

Your Role

The successful postdoctoral candidate will develop computational and statistical models using multi-omics data (including transcriptomics, proteomics, lipidomics, and immunomics data) generated from patients to identify novel diagnostic patterns / biomarkers that match clinical findings.

The modeling methodologies include, but not limited to, statistical modeling and machine learning, network biology, bioinformatics and information theory, The project is funded by ERA PerMed and includes a consortium of international collaborators, including medical practitioners with existing record of achievements in treatment of SIRS.

In addition, the successful candidate will curate the group’s contribution to the consortium and provide it with statistical and computational support, which requires ability to work with various professional backgrounds (biologists, doctors and others).

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. 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 methods for computational modeling of biomedical problems.

The CBG includes researchers with theoretical, computational and wet lab backgrounds, thereby providing a unique interdisciplinary environment.

The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational pipeline for classification and analysis of patients with the systemic inflammatory response syndrome (SIRS).

SIRS is a life-threatening condition characterized by a mortality of 7-25% depending on timely recognition of the underlying disease and triggers.

The heterogeneity of SIRS symptoms, however, challenges initial therapeutic decisions.

Your Profile

Essential skills and qualities :

  • Ph.D. degree in computer science, engineering, physics, biology or related discipline
  • Strong computational skills
  • A strong publication record in related fields
  • Excellent communication skills and working knowledge of English
  • Ideal skills :

  • Prior experience in computational systems biology and / or statistical learning
  • Experience in working in multi-disciplinary research settings
  • We offer :

  • Opportunity to do highly interdisciplinary research and solve complex biomedical problems within a highly dynamic research institution (LCSB) and in collaboration with internationally recognized partners
  • An international and multi-lingual environment
  • A very competitive salary and a range of social benefits
  • In Short

  • Contract Type : Contrat à durée déterminée 12 Mois
  • Work Hours : Temps plein 40.0 Heures par Semaine
  • Location : Belval
  • Internal Title : Postdoctoral researcher / Research associate
  • Job Reference : UOL03922
  • Further Information

    Applications should be submitted online and include :

  • Curriculum Vitae
  • Cover letter
  • Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE 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.

    Here’s what awaits you at the University

  • 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. WiFi on campus. 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
  • Further information

    Prof. Antonio del Sol : antonio.delsol uni.lu

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